mirror of
https://github.com/imagemagick/imagemagick
synced 2024-10-18 17:02:34 +00:00
4394 lines
136 KiB
C
4394 lines
136 KiB
C
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% EEEEE FFFFF FFFFF EEEEE CCCC TTTTT %
|
||
% E F F E C T %
|
||
% EEE FFF FFF EEE C T %
|
||
% E F F E C T %
|
||
% EEEEE F F EEEEE CCCC T %
|
||
% %
|
||
% %
|
||
% MagickCore Image Effects Methods %
|
||
% %
|
||
% Software Design %
|
||
% Cristy %
|
||
% October 1996 %
|
||
% %
|
||
% %
|
||
% Copyright @ 1999 ImageMagick Studio LLC, a non-profit organization %
|
||
% dedicated to making software imaging solutions freely available. %
|
||
% %
|
||
% You may not use this file except in compliance with the License. You may %
|
||
% obtain a copy of the License at %
|
||
% %
|
||
% https://imagemagick.org/script/license.php %
|
||
% %
|
||
% Unless required by applicable law or agreed to in writing, software %
|
||
% distributed under the License is distributed on an "AS IS" BASIS, %
|
||
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
|
||
% See the License for the specific language governing permissions and %
|
||
% limitations under the License. %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
%
|
||
%
|
||
*/
|
||
|
||
/*
|
||
Include declarations.
|
||
*/
|
||
#include "MagickCore/studio.h"
|
||
#include "MagickCore/accelerate-private.h"
|
||
#include "MagickCore/blob.h"
|
||
#include "MagickCore/cache-view.h"
|
||
#include "MagickCore/color.h"
|
||
#include "MagickCore/color-private.h"
|
||
#include "MagickCore/colorspace.h"
|
||
#include "MagickCore/constitute.h"
|
||
#include "MagickCore/decorate.h"
|
||
#include "MagickCore/distort.h"
|
||
#include "MagickCore/draw.h"
|
||
#include "MagickCore/enhance.h"
|
||
#include "MagickCore/exception.h"
|
||
#include "MagickCore/exception-private.h"
|
||
#include "MagickCore/effect.h"
|
||
#include "MagickCore/fx.h"
|
||
#include "MagickCore/gem.h"
|
||
#include "MagickCore/gem-private.h"
|
||
#include "MagickCore/geometry.h"
|
||
#include "MagickCore/image-private.h"
|
||
#include "MagickCore/list.h"
|
||
#include "MagickCore/log.h"
|
||
#include "MagickCore/matrix.h"
|
||
#include "MagickCore/memory_.h"
|
||
#include "MagickCore/memory-private.h"
|
||
#include "MagickCore/monitor.h"
|
||
#include "MagickCore/monitor-private.h"
|
||
#include "MagickCore/montage.h"
|
||
#include "MagickCore/morphology.h"
|
||
#include "MagickCore/morphology-private.h"
|
||
#include "MagickCore/paint.h"
|
||
#include "MagickCore/pixel-accessor.h"
|
||
#include "MagickCore/property.h"
|
||
#include "MagickCore/quantize.h"
|
||
#include "MagickCore/quantum.h"
|
||
#include "MagickCore/quantum-private.h"
|
||
#include "MagickCore/random_.h"
|
||
#include "MagickCore/random-private.h"
|
||
#include "MagickCore/resample.h"
|
||
#include "MagickCore/resample-private.h"
|
||
#include "MagickCore/resize.h"
|
||
#include "MagickCore/resource_.h"
|
||
#include "MagickCore/segment.h"
|
||
#include "MagickCore/shear.h"
|
||
#include "MagickCore/signature-private.h"
|
||
#include "MagickCore/statistic.h"
|
||
#include "MagickCore/string_.h"
|
||
#include "MagickCore/thread-private.h"
|
||
#include "MagickCore/transform.h"
|
||
#include "MagickCore/threshold.h"
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% A d a p t i v e B l u r I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% AdaptiveBlurImage() adaptively blurs the image by blurring less
|
||
% intensely near image edges and more intensely far from edges. We blur the
|
||
% image with a Gaussian operator of the given radius and standard deviation
|
||
% (sigma). For reasonable results, radius should be larger than sigma. Use a
|
||
% radius of 0 and AdaptiveBlurImage() selects a suitable radius for you.
|
||
%
|
||
% The format of the AdaptiveBlurImage method is:
|
||
%
|
||
% Image *AdaptiveBlurImage(const Image *image,const double radius,
|
||
% const double sigma,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o radius: the radius of the Gaussian, in pixels, not counting the center
|
||
% pixel.
|
||
%
|
||
% o sigma: the standard deviation of the Laplacian, in pixels.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport Image *AdaptiveBlurImage(const Image *image,const double radius,
|
||
const double sigma,ExceptionInfo *exception)
|
||
{
|
||
#define AdaptiveBlurImageTag "Convolve/Image"
|
||
#define MagickSigma (fabs(sigma) < MagickEpsilon ? MagickEpsilon : sigma)
|
||
|
||
CacheView
|
||
*blur_view,
|
||
*edge_view,
|
||
*image_view;
|
||
|
||
double
|
||
normalize,
|
||
**kernel;
|
||
|
||
Image
|
||
*blur_image,
|
||
*edge_image,
|
||
*gaussian_image;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
MagickOffsetType
|
||
progress;
|
||
|
||
size_t
|
||
width;
|
||
|
||
ssize_t
|
||
w,
|
||
y;
|
||
|
||
assert(image != (const Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
blur_image=CloneImage(image,0,0,MagickTrue,exception);
|
||
if (blur_image == (Image *) NULL)
|
||
return((Image *) NULL);
|
||
if (fabs(sigma) < MagickEpsilon)
|
||
return(blur_image);
|
||
if (SetImageStorageClass(blur_image,DirectClass,exception) == MagickFalse)
|
||
{
|
||
blur_image=DestroyImage(blur_image);
|
||
return((Image *) NULL);
|
||
}
|
||
/*
|
||
Edge detect the image brightness channel, level, blur, and level again.
|
||
*/
|
||
edge_image=EdgeImage(image,radius,exception);
|
||
if (edge_image == (Image *) NULL)
|
||
{
|
||
blur_image=DestroyImage(blur_image);
|
||
return((Image *) NULL);
|
||
}
|
||
(void) AutoLevelImage(edge_image,exception);
|
||
gaussian_image=BlurImage(edge_image,radius,sigma,exception);
|
||
if (gaussian_image != (Image *) NULL)
|
||
{
|
||
edge_image=DestroyImage(edge_image);
|
||
edge_image=gaussian_image;
|
||
}
|
||
(void) AutoLevelImage(edge_image,exception);
|
||
/*
|
||
Create a set of kernels from maximum (radius,sigma) to minimum.
|
||
*/
|
||
width=GetOptimalKernelWidth2D(radius,sigma);
|
||
kernel=(double **) MagickAssumeAligned(AcquireAlignedMemory((size_t) width,
|
||
sizeof(*kernel)));
|
||
if (kernel == (double **) NULL)
|
||
{
|
||
edge_image=DestroyImage(edge_image);
|
||
blur_image=DestroyImage(blur_image);
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
}
|
||
(void) memset(kernel,0,(size_t) width*sizeof(*kernel));
|
||
for (w=0; w < (ssize_t) width; w+=2)
|
||
{
|
||
ssize_t
|
||
j,
|
||
k,
|
||
u,
|
||
v;
|
||
|
||
kernel[w]=(double *) MagickAssumeAligned(AcquireAlignedMemory(
|
||
(width-(size_t) w),(width-(size_t) w)*sizeof(**kernel)));
|
||
if (kernel[w] == (double *) NULL)
|
||
break;
|
||
normalize=0.0;
|
||
j=((ssize_t) width-w-1)/2;
|
||
k=0;
|
||
for (v=(-j); v <= j; v++)
|
||
{
|
||
for (u=(-j); u <= j; u++)
|
||
{
|
||
kernel[w][k]=(double) (exp(-((double) u*u+v*v)/(2.0*MagickSigma*
|
||
MagickSigma))/(2.0*MagickPI*MagickSigma*MagickSigma));
|
||
normalize+=kernel[w][k];
|
||
k++;
|
||
}
|
||
}
|
||
kernel[w][(k-1)/2]+=(double) (1.0-normalize);
|
||
if (sigma < MagickEpsilon)
|
||
kernel[w][(k-1)/2]=1.0;
|
||
}
|
||
if (w < (ssize_t) width)
|
||
{
|
||
for (w-=2; w >= 0; w-=2)
|
||
kernel[w]=(double *) RelinquishAlignedMemory(kernel[w]);
|
||
kernel=(double **) RelinquishAlignedMemory(kernel);
|
||
edge_image=DestroyImage(edge_image);
|
||
blur_image=DestroyImage(blur_image);
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
}
|
||
/*
|
||
Adaptively blur image.
|
||
*/
|
||
status=MagickTrue;
|
||
progress=0;
|
||
image_view=AcquireVirtualCacheView(image,exception);
|
||
edge_view=AcquireVirtualCacheView(edge_image,exception);
|
||
blur_view=AcquireAuthenticCacheView(blur_image,exception);
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(static) shared(progress,status) \
|
||
magick_number_threads(image,blur_image,blur_image->rows,1)
|
||
#endif
|
||
for (y=0; y < (ssize_t) blur_image->rows; y++)
|
||
{
|
||
const Quantum
|
||
*magick_restrict r;
|
||
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
r=GetCacheViewVirtualPixels(edge_view,0,y,edge_image->columns,1,exception);
|
||
q=QueueCacheViewAuthenticPixels(blur_view,0,y,blur_image->columns,1,
|
||
exception);
|
||
if ((r == (const Quantum *) NULL) || (q == (Quantum *) NULL))
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
for (x=0; x < (ssize_t) blur_image->columns; x++)
|
||
{
|
||
const Quantum
|
||
*magick_restrict p;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
ssize_t
|
||
center,
|
||
j;
|
||
|
||
j=CastDoubleToLong(ceil((double) width*(1.0-QuantumScale*
|
||
GetPixelIntensity(edge_image,r))-0.5));
|
||
if (j < 0)
|
||
j=0;
|
||
else
|
||
if (j > (ssize_t) width)
|
||
j=(ssize_t) width;
|
||
if ((j & 0x01) != 0)
|
||
j--;
|
||
p=GetCacheViewVirtualPixels(image_view,x-((ssize_t) width-j)/2L,y-
|
||
((ssize_t) width-j)/2L,width-(size_t) j,width-(size_t) j,exception);
|
||
if (p == (const Quantum *) NULL)
|
||
break;
|
||
center=(ssize_t) (GetPixelChannels(image)*(width-(size_t) j)*
|
||
((width-(size_t) j)/2L)+GetPixelChannels(image)*((width-(size_t) j)/2));
|
||
for (i=0; i < (ssize_t) GetPixelChannels(blur_image); i++)
|
||
{
|
||
double
|
||
alpha,
|
||
gamma,
|
||
pixel;
|
||
|
||
PixelChannel
|
||
channel;
|
||
|
||
PixelTrait
|
||
blur_traits,
|
||
traits;
|
||
|
||
const double
|
||
*magick_restrict k;
|
||
|
||
const Quantum
|
||
*magick_restrict pixels;
|
||
|
||
ssize_t
|
||
u;
|
||
|
||
ssize_t
|
||
v;
|
||
|
||
channel=GetPixelChannelChannel(image,i);
|
||
traits=GetPixelChannelTraits(image,channel);
|
||
blur_traits=GetPixelChannelTraits(blur_image,channel);
|
||
if ((traits == UndefinedPixelTrait) ||
|
||
(blur_traits == UndefinedPixelTrait))
|
||
continue;
|
||
if ((blur_traits & CopyPixelTrait) != 0)
|
||
{
|
||
SetPixelChannel(blur_image,channel,p[center+i],q);
|
||
continue;
|
||
}
|
||
k=kernel[j];
|
||
pixels=p;
|
||
pixel=0.0;
|
||
gamma=0.0;
|
||
if ((blur_traits & BlendPixelTrait) == 0)
|
||
{
|
||
/*
|
||
No alpha blending.
|
||
*/
|
||
for (v=0; v < ((ssize_t) width-j); v++)
|
||
{
|
||
for (u=0; u < ((ssize_t) width-j); u++)
|
||
{
|
||
pixel+=(*k)*(double) pixels[i];
|
||
gamma+=(*k);
|
||
k++;
|
||
pixels+=GetPixelChannels(image);
|
||
}
|
||
}
|
||
gamma=PerceptibleReciprocal(gamma);
|
||
SetPixelChannel(blur_image,channel,ClampToQuantum(gamma*pixel),q);
|
||
continue;
|
||
}
|
||
/*
|
||
Alpha blending.
|
||
*/
|
||
for (v=0; v < ((ssize_t) width-j); v++)
|
||
{
|
||
for (u=0; u < ((ssize_t) width-j); u++)
|
||
{
|
||
alpha=(double) (QuantumScale*(double) GetPixelAlpha(image,pixels));
|
||
pixel+=(*k)*alpha*(double) pixels[i];
|
||
gamma+=(*k)*alpha;
|
||
k++;
|
||
pixels+=GetPixelChannels(image);
|
||
}
|
||
}
|
||
gamma=PerceptibleReciprocal(gamma);
|
||
SetPixelChannel(blur_image,channel,ClampToQuantum(gamma*pixel),q);
|
||
}
|
||
q+=GetPixelChannels(blur_image);
|
||
r+=GetPixelChannels(edge_image);
|
||
}
|
||
if (SyncCacheViewAuthenticPixels(blur_view,exception) == MagickFalse)
|
||
status=MagickFalse;
|
||
if (image->progress_monitor != (MagickProgressMonitor) NULL)
|
||
{
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp atomic
|
||
#endif
|
||
progress++;
|
||
proceed=SetImageProgress(image,AdaptiveBlurImageTag,progress,
|
||
image->rows);
|
||
if (proceed == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
}
|
||
blur_image->type=image->type;
|
||
blur_view=DestroyCacheView(blur_view);
|
||
edge_view=DestroyCacheView(edge_view);
|
||
image_view=DestroyCacheView(image_view);
|
||
edge_image=DestroyImage(edge_image);
|
||
for (w=0; w < (ssize_t) width; w+=2)
|
||
kernel[w]=(double *) RelinquishAlignedMemory(kernel[w]);
|
||
kernel=(double **) RelinquishAlignedMemory(kernel);
|
||
if (status == MagickFalse)
|
||
blur_image=DestroyImage(blur_image);
|
||
return(blur_image);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% A d a p t i v e S h a r p e n I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% AdaptiveSharpenImage() adaptively sharpens the image by sharpening more
|
||
% intensely near image edges and less intensely far from edges. We sharpen the
|
||
% image with a Gaussian operator of the given radius and standard deviation
|
||
% (sigma). For reasonable results, radius should be larger than sigma. Use a
|
||
% radius of 0 and AdaptiveSharpenImage() selects a suitable radius for you.
|
||
%
|
||
% The format of the AdaptiveSharpenImage method is:
|
||
%
|
||
% Image *AdaptiveSharpenImage(const Image *image,const double radius,
|
||
% const double sigma,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o radius: the radius of the Gaussian, in pixels, not counting the center
|
||
% pixel.
|
||
%
|
||
% o sigma: the standard deviation of the Laplacian, in pixels.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport Image *AdaptiveSharpenImage(const Image *image,const double radius,
|
||
const double sigma,ExceptionInfo *exception)
|
||
{
|
||
#define AdaptiveSharpenImageTag "Convolve/Image"
|
||
#define MagickSigma (fabs(sigma) < MagickEpsilon ? MagickEpsilon : sigma)
|
||
|
||
CacheView
|
||
*sharp_view,
|
||
*edge_view,
|
||
*image_view;
|
||
|
||
double
|
||
normalize,
|
||
**kernel;
|
||
|
||
Image
|
||
*sharp_image,
|
||
*edge_image,
|
||
*gaussian_image;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
MagickOffsetType
|
||
progress;
|
||
|
||
size_t
|
||
width;
|
||
|
||
ssize_t
|
||
w,
|
||
y;
|
||
|
||
assert(image != (const Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
sharp_image=CloneImage(image,0,0,MagickTrue,exception);
|
||
if (sharp_image == (Image *) NULL)
|
||
return((Image *) NULL);
|
||
if (fabs(sigma) < MagickEpsilon)
|
||
return(sharp_image);
|
||
if (SetImageStorageClass(sharp_image,DirectClass,exception) == MagickFalse)
|
||
{
|
||
sharp_image=DestroyImage(sharp_image);
|
||
return((Image *) NULL);
|
||
}
|
||
/*
|
||
Edge detect the image brightness channel, level, sharp, and level again.
|
||
*/
|
||
edge_image=EdgeImage(image,radius,exception);
|
||
if (edge_image == (Image *) NULL)
|
||
{
|
||
sharp_image=DestroyImage(sharp_image);
|
||
return((Image *) NULL);
|
||
}
|
||
(void) AutoLevelImage(edge_image,exception);
|
||
gaussian_image=BlurImage(edge_image,radius,sigma,exception);
|
||
if (gaussian_image != (Image *) NULL)
|
||
{
|
||
edge_image=DestroyImage(edge_image);
|
||
edge_image=gaussian_image;
|
||
}
|
||
(void) AutoLevelImage(edge_image,exception);
|
||
/*
|
||
Create a set of kernels from maximum (radius,sigma) to minimum.
|
||
*/
|
||
width=GetOptimalKernelWidth2D(radius,sigma);
|
||
kernel=(double **) MagickAssumeAligned(AcquireAlignedMemory((size_t)
|
||
width,sizeof(*kernel)));
|
||
if (kernel == (double **) NULL)
|
||
{
|
||
edge_image=DestroyImage(edge_image);
|
||
sharp_image=DestroyImage(sharp_image);
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
}
|
||
(void) memset(kernel,0,(size_t) width*sizeof(*kernel));
|
||
for (w=0; w < (ssize_t) width; w+=2)
|
||
{
|
||
ssize_t
|
||
j,
|
||
k,
|
||
u,
|
||
v;
|
||
|
||
kernel[w]=(double *) MagickAssumeAligned(AcquireAlignedMemory((size_t)
|
||
(width-(size_t) w),(width-(size_t) w)*sizeof(**kernel)));
|
||
if (kernel[w] == (double *) NULL)
|
||
break;
|
||
normalize=0.0;
|
||
j=((ssize_t) width-w-1)/2;
|
||
k=0;
|
||
for (v=(-j); v <= j; v++)
|
||
{
|
||
for (u=(-j); u <= j; u++)
|
||
{
|
||
kernel[w][k]=(double) (-exp(-((double) u*u+v*v)/(2.0*MagickSigma*
|
||
MagickSigma))/(2.0*MagickPI*MagickSigma*MagickSigma));
|
||
normalize+=kernel[w][k];
|
||
k++;
|
||
}
|
||
}
|
||
kernel[w][(k-1)/2]=(double) ((-2.0)*normalize);
|
||
if (sigma < MagickEpsilon)
|
||
kernel[w][(k-1)/2]=1.0;
|
||
}
|
||
if (w < (ssize_t) width)
|
||
{
|
||
for (w-=2; w >= 0; w-=2)
|
||
kernel[w]=(double *) RelinquishAlignedMemory(kernel[w]);
|
||
kernel=(double **) RelinquishAlignedMemory(kernel);
|
||
edge_image=DestroyImage(edge_image);
|
||
sharp_image=DestroyImage(sharp_image);
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
}
|
||
/*
|
||
Adaptively sharpen image.
|
||
*/
|
||
status=MagickTrue;
|
||
progress=0;
|
||
image_view=AcquireVirtualCacheView(image,exception);
|
||
edge_view=AcquireVirtualCacheView(edge_image,exception);
|
||
sharp_view=AcquireAuthenticCacheView(sharp_image,exception);
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(static) shared(progress,status) \
|
||
magick_number_threads(image,sharp_image,sharp_image->rows,1)
|
||
#endif
|
||
for (y=0; y < (ssize_t) sharp_image->rows; y++)
|
||
{
|
||
const Quantum
|
||
*magick_restrict r;
|
||
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
r=GetCacheViewVirtualPixels(edge_view,0,y,edge_image->columns,1,exception);
|
||
q=QueueCacheViewAuthenticPixels(sharp_view,0,y,sharp_image->columns,1,
|
||
exception);
|
||
if ((r == (const Quantum *) NULL) || (q == (Quantum *) NULL))
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
for (x=0; x < (ssize_t) sharp_image->columns; x++)
|
||
{
|
||
const Quantum
|
||
*magick_restrict p;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
ssize_t
|
||
center,
|
||
j;
|
||
|
||
j=CastDoubleToLong(ceil((double) width*(1.0-QuantumScale*
|
||
GetPixelIntensity(edge_image,r))-0.5));
|
||
if (j < 0)
|
||
j=0;
|
||
else
|
||
if (j > (ssize_t) width)
|
||
j=(ssize_t) width;
|
||
if ((j & 0x01) != 0)
|
||
j--;
|
||
p=GetCacheViewVirtualPixels(image_view,x-(((ssize_t) width-j)/2L),y-
|
||
(((ssize_t) width-j)/2L),width-(size_t) j,width-(size_t) j,exception);
|
||
if (p == (const Quantum *) NULL)
|
||
break;
|
||
center=(ssize_t) (GetPixelChannels(image)*(width-(size_t) j)*
|
||
((width-(size_t) j)/2L)+GetPixelChannels(image)*((width-(size_t) j)/2));
|
||
for (i=0; i < (ssize_t) GetPixelChannels(sharp_image); i++)
|
||
{
|
||
const double
|
||
*magick_restrict k;
|
||
|
||
const Quantum
|
||
*magick_restrict pixels;
|
||
|
||
double
|
||
alpha,
|
||
gamma,
|
||
pixel;
|
||
|
||
PixelChannel
|
||
channel;
|
||
|
||
PixelTrait
|
||
sharp_traits,
|
||
traits;
|
||
|
||
ssize_t
|
||
u,
|
||
v;
|
||
|
||
channel=GetPixelChannelChannel(image,i);
|
||
traits=GetPixelChannelTraits(image,channel);
|
||
sharp_traits=GetPixelChannelTraits(sharp_image,channel);
|
||
if ((traits == UndefinedPixelTrait) ||
|
||
(sharp_traits == UndefinedPixelTrait))
|
||
continue;
|
||
if ((sharp_traits & CopyPixelTrait) != 0)
|
||
{
|
||
SetPixelChannel(sharp_image,channel,p[center+i],q);
|
||
continue;
|
||
}
|
||
k=kernel[j];
|
||
pixels=p;
|
||
pixel=0.0;
|
||
gamma=0.0;
|
||
if ((sharp_traits & BlendPixelTrait) == 0)
|
||
{
|
||
/*
|
||
No alpha blending.
|
||
*/
|
||
for (v=0; v < ((ssize_t) width-j); v++)
|
||
{
|
||
for (u=0; u < ((ssize_t) width-j); u++)
|
||
{
|
||
pixel+=(*k)*(double) pixels[i];
|
||
gamma+=(*k);
|
||
k++;
|
||
pixels+=GetPixelChannels(image);
|
||
}
|
||
}
|
||
gamma=PerceptibleReciprocal(gamma);
|
||
SetPixelChannel(sharp_image,channel,ClampToQuantum(gamma*pixel),q);
|
||
continue;
|
||
}
|
||
/*
|
||
Alpha blending.
|
||
*/
|
||
for (v=0; v < ((ssize_t) width-j); v++)
|
||
{
|
||
for (u=0; u < ((ssize_t) width-j); u++)
|
||
{
|
||
alpha=(double) (QuantumScale*(double) GetPixelAlpha(image,pixels));
|
||
pixel+=(*k)*alpha*(double) pixels[i];
|
||
gamma+=(*k)*alpha;
|
||
k++;
|
||
pixels+=GetPixelChannels(image);
|
||
}
|
||
}
|
||
gamma=PerceptibleReciprocal(gamma);
|
||
SetPixelChannel(sharp_image,channel,ClampToQuantum(gamma*pixel),q);
|
||
}
|
||
q+=GetPixelChannels(sharp_image);
|
||
r+=GetPixelChannels(edge_image);
|
||
}
|
||
if (SyncCacheViewAuthenticPixels(sharp_view,exception) == MagickFalse)
|
||
status=MagickFalse;
|
||
if (image->progress_monitor != (MagickProgressMonitor) NULL)
|
||
{
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp atomic
|
||
#endif
|
||
progress++;
|
||
proceed=SetImageProgress(image,AdaptiveSharpenImageTag,progress,
|
||
image->rows);
|
||
if (proceed == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
}
|
||
sharp_image->type=image->type;
|
||
sharp_view=DestroyCacheView(sharp_view);
|
||
edge_view=DestroyCacheView(edge_view);
|
||
image_view=DestroyCacheView(image_view);
|
||
edge_image=DestroyImage(edge_image);
|
||
for (w=0; w < (ssize_t) width; w+=2)
|
||
kernel[w]=(double *) RelinquishAlignedMemory(kernel[w]);
|
||
kernel=(double **) RelinquishAlignedMemory(kernel);
|
||
if (status == MagickFalse)
|
||
sharp_image=DestroyImage(sharp_image);
|
||
return(sharp_image);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% B l u r I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% BlurImage() blurs an image. We convolve the image with a Gaussian operator
|
||
% of the given radius and standard deviation (sigma). For reasonable results,
|
||
% the radius should be larger than sigma. Use a radius of 0 and BlurImage()
|
||
% selects a suitable radius for you.
|
||
%
|
||
% The format of the BlurImage method is:
|
||
%
|
||
% Image *BlurImage(const Image *image,const double radius,
|
||
% const double sigma,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o radius: the radius of the Gaussian, in pixels, not counting the center
|
||
% pixel.
|
||
%
|
||
% o sigma: the standard deviation of the Gaussian, in pixels.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport Image *BlurImage(const Image *image,const double radius,
|
||
const double sigma,ExceptionInfo *exception)
|
||
{
|
||
char
|
||
geometry[MagickPathExtent];
|
||
|
||
KernelInfo
|
||
*kernel_info;
|
||
|
||
Image
|
||
*blur_image;
|
||
|
||
assert(image != (const Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
#if defined(MAGICKCORE_OPENCL_SUPPORT)
|
||
blur_image=AccelerateBlurImage(image,radius,sigma,exception);
|
||
if (blur_image != (Image *) NULL)
|
||
return(blur_image);
|
||
#endif
|
||
(void) FormatLocaleString(geometry,MagickPathExtent,
|
||
"blur:%.20gx%.20g;blur:%.20gx%.20g+90",radius,sigma,radius,sigma);
|
||
kernel_info=AcquireKernelInfo(geometry,exception);
|
||
if (kernel_info == (KernelInfo *) NULL)
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
blur_image=ConvolveImage(image,kernel_info,exception);
|
||
kernel_info=DestroyKernelInfo(kernel_info);
|
||
return(blur_image);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% B i l a t e r a l B l u r I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% BilateralBlurImage() is a non-linear, edge-preserving, and noise-reducing
|
||
% smoothing filter for images. It replaces the intensity of each pixel with
|
||
% a weighted average of intensity values from nearby pixels. This weight is
|
||
% based on a Gaussian distribution. The weights depend not only on Euclidean
|
||
% distance of pixels, but also on the radiometric differences (e.g., range
|
||
% differences, such as color intensity, depth distance, etc.). This preserves
|
||
% sharp edges.
|
||
%
|
||
% The format of the BilateralBlurImage method is:
|
||
%
|
||
% Image *BilateralBlurImage(const Image *image,const size_t width,
|
||
% const size_t height,const double intensity_sigma,
|
||
% const double spatial_sigma,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o width: the width of the neighborhood in pixels.
|
||
%
|
||
% o height: the height of the neighborhood in pixels.
|
||
%
|
||
% o intensity_sigma: sigma in the intensity space. A larger value means
|
||
% that farther colors within the pixel neighborhood (see spatial_sigma)
|
||
% will be mixed together, resulting in larger areas of semi-equal color.
|
||
%
|
||
% o spatial_sigma: sigma in the coordinate space. A larger value means that
|
||
% farther pixels influence each other as long as their colors are close
|
||
% enough (see intensity_sigma ). When the neighborhood diameter is greater
|
||
% than zero, it specifies the neighborhood size regardless of
|
||
% spatial_sigma. Otherwise, the neighborhood diameter is proportional to
|
||
% spatial_sigma.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
|
||
static inline double BlurDistance(const ssize_t x,const ssize_t y,
|
||
const ssize_t u,const ssize_t v)
|
||
{
|
||
return(sqrt(((double) x-u)*((double) x-u)+((double) y-v)*((double) y-v)));
|
||
}
|
||
|
||
static inline double BlurGaussian(const double x,const double sigma)
|
||
{
|
||
return(exp(-((double) x*x)*PerceptibleReciprocal(2.0*sigma*sigma))*
|
||
PerceptibleReciprocal(Magick2PI*sigma*sigma));
|
||
}
|
||
|
||
static double **DestroyBilateralTLS(const size_t number_threads,
|
||
double **weights)
|
||
{
|
||
ssize_t
|
||
i;
|
||
|
||
assert(weights != (double **) NULL);
|
||
for (i=0; i <= (ssize_t) number_threads; i++)
|
||
if (weights[i] != (double *) NULL)
|
||
weights[i]=(double *) RelinquishMagickMemory(weights[i]);
|
||
weights=(double **) RelinquishMagickMemory(weights);
|
||
return(weights);
|
||
}
|
||
|
||
static double **AcquireBilateralTLS(const size_t number_threads,
|
||
const size_t width,const size_t height)
|
||
{
|
||
double
|
||
**weights;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
weights=(double **) AcquireQuantumMemory(number_threads+1,sizeof(*weights));
|
||
if (weights == (double **) NULL)
|
||
return((double **) NULL);
|
||
(void) memset(weights,0,number_threads*sizeof(*weights));
|
||
for (i=0; i <= (ssize_t) number_threads; i++)
|
||
{
|
||
weights[i]=(double *) AcquireQuantumMemory(width,height*sizeof(**weights));
|
||
if (weights[i] == (double *) NULL)
|
||
return(DestroyBilateralTLS(number_threads,weights));
|
||
}
|
||
return(weights);
|
||
}
|
||
|
||
MagickExport Image *BilateralBlurImage(const Image *image,const size_t width,
|
||
const size_t height,const double intensity_sigma,const double spatial_sigma,
|
||
ExceptionInfo *exception)
|
||
{
|
||
#define MaxIntensity (255)
|
||
#define BilateralBlurImageTag "Blur/Image"
|
||
|
||
CacheView
|
||
*blur_view,
|
||
*image_view;
|
||
|
||
double
|
||
intensity_gaussian[2*(MaxIntensity+1)],
|
||
*spatial_gaussian,
|
||
**weights;
|
||
|
||
Image
|
||
*blur_image;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
MagickOffsetType
|
||
progress;
|
||
|
||
OffsetInfo
|
||
mid;
|
||
|
||
size_t
|
||
number_threads;
|
||
|
||
ssize_t
|
||
w,
|
||
y;
|
||
|
||
assert(image != (const Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
blur_image=CloneImage(image,0,0,MagickTrue,exception);
|
||
if (blur_image == (Image *) NULL)
|
||
return((Image *) NULL);
|
||
if (SetImageStorageClass(blur_image,DirectClass,exception) == MagickFalse)
|
||
{
|
||
blur_image=DestroyImage(blur_image);
|
||
return((Image *) NULL);
|
||
}
|
||
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
|
||
weights=AcquireBilateralTLS(number_threads,MagickMax(width,1),
|
||
MagickMax(height,1));
|
||
if (weights == (double **) NULL)
|
||
{
|
||
blur_image=DestroyImage(blur_image);
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
}
|
||
for (w=(-MaxIntensity); w < MaxIntensity; w++)
|
||
intensity_gaussian[w+MaxIntensity]=BlurGaussian((double) w,intensity_sigma);
|
||
spatial_gaussian=weights[number_threads];
|
||
{
|
||
ssize_t
|
||
n,
|
||
v;
|
||
|
||
n=0;
|
||
mid.x=(ssize_t) (MagickMax(width,1)/2L);
|
||
mid.y=(ssize_t) (MagickMax(height,1)/2L);
|
||
for (v=0; v < (ssize_t) MagickMax(height,1); v++)
|
||
{
|
||
ssize_t
|
||
u;
|
||
|
||
for (u=0; u < (ssize_t) MagickMax(width,1); u++)
|
||
spatial_gaussian[n++]=BlurGaussian(BlurDistance(0,0,u-mid.x,v-mid.y),
|
||
spatial_sigma);
|
||
}
|
||
}
|
||
/*
|
||
Bilateral blur image.
|
||
*/
|
||
status=MagickTrue;
|
||
progress=0;
|
||
image_view=AcquireVirtualCacheView(image,exception);
|
||
blur_view=AcquireAuthenticCacheView(blur_image,exception);
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(static) shared(progress,status) \
|
||
magick_number_threads(image,blur_image,blur_image->rows,1)
|
||
#endif
|
||
for (y=0; y < (ssize_t) blur_image->rows; y++)
|
||
{
|
||
const int
|
||
id = GetOpenMPThreadId();
|
||
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
q=QueueCacheViewAuthenticPixels(blur_view,0,y,blur_image->columns,1,
|
||
exception);
|
||
if (q == (Quantum *) NULL)
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
for (x=0; x < (ssize_t) blur_image->columns; x++)
|
||
{
|
||
const Quantum
|
||
*magick_restrict p,
|
||
*magick_restrict r;
|
||
|
||
double
|
||
gamma,
|
||
pixel;
|
||
|
||
ssize_t
|
||
i,
|
||
n,
|
||
u,
|
||
v;
|
||
|
||
/*
|
||
Tonal weighting preserves edges while smoothing in the flat regions.
|
||
*/
|
||
p=GetCacheViewVirtualPixels(image_view,x-mid.x,y-mid.y,MagickMax(width,1),
|
||
MagickMax(height,1),exception);
|
||
if (p == (const Quantum *) NULL)
|
||
break;
|
||
p+=(ssize_t) (GetPixelChannels(image)*MagickMax(width,1)*(size_t) mid.y+
|
||
GetPixelChannels(image)*(size_t) mid.x);
|
||
n=0;
|
||
for (v=0; v < (ssize_t) MagickMax(height,1); v++)
|
||
{
|
||
for (u=0; u < (ssize_t) MagickMax(width,1); u++)
|
||
{
|
||
double
|
||
intensity;
|
||
|
||
r=p+(ssize_t) (GetPixelChannels(image)*MagickMax(width,1)*
|
||
(size_t) (mid.y-v)+GetPixelChannels(image)*(size_t) (mid.x-u));
|
||
intensity=ScaleQuantumToChar(GetPixelIntensity(image,r))-
|
||
(double) ScaleQuantumToChar(GetPixelIntensity(image,p));
|
||
if ((intensity >= -MaxIntensity) && (intensity <= MaxIntensity))
|
||
weights[id][n]=intensity_gaussian[(ssize_t) intensity+MaxIntensity]*
|
||
spatial_gaussian[n];
|
||
else
|
||
weights[id][n]=BlurGaussian(intensity,intensity_sigma)*
|
||
BlurGaussian(BlurDistance(x,y,x+u-mid.x,y+v-mid.y),spatial_sigma);
|
||
n++;
|
||
}
|
||
}
|
||
for (i=0; i < (ssize_t) GetPixelChannels(blur_image); i++)
|
||
{
|
||
PixelChannel
|
||
channel;
|
||
|
||
PixelTrait
|
||
blur_traits,
|
||
traits;
|
||
|
||
channel=GetPixelChannelChannel(image,i);
|
||
traits=GetPixelChannelTraits(image,channel);
|
||
blur_traits=GetPixelChannelTraits(blur_image,channel);
|
||
if ((traits == UndefinedPixelTrait) ||
|
||
(blur_traits == UndefinedPixelTrait))
|
||
continue;
|
||
if ((blur_traits & CopyPixelTrait) != 0)
|
||
{
|
||
SetPixelChannel(blur_image,channel,p[i],q);
|
||
continue;
|
||
}
|
||
pixel=0.0;
|
||
gamma=0.0;
|
||
n=0;
|
||
if ((blur_traits & BlendPixelTrait) == 0)
|
||
{
|
||
/*
|
||
No alpha blending.
|
||
*/
|
||
for (v=0; v < (ssize_t) MagickMax(height,1); v++)
|
||
{
|
||
for (u=0; u < (ssize_t) MagickMax(width,1); u++)
|
||
{
|
||
r=p+GetPixelChannels(image)*MagickMax(width,1)*(size_t)
|
||
(mid.y-v)+GetPixelChannels(image)*(size_t) (mid.x-u);
|
||
pixel+=weights[id][n]*(double) r[i];
|
||
gamma+=weights[id][n];
|
||
n++;
|
||
}
|
||
}
|
||
SetPixelChannel(blur_image,channel,ClampToQuantum(
|
||
PerceptibleReciprocal(gamma)*pixel),q);
|
||
continue;
|
||
}
|
||
/*
|
||
Alpha blending.
|
||
*/
|
||
for (v=0; v < (ssize_t) MagickMax(height,1); v++)
|
||
{
|
||
for (u=0; u < (ssize_t) MagickMax(width,1); u++)
|
||
{
|
||
double
|
||
alpha,
|
||
beta;
|
||
|
||
r=p+GetPixelChannels(image)*MagickMax(width,1)*(size_t) (mid.y-v)+
|
||
GetPixelChannels(image)*(size_t) (mid.x-u);
|
||
alpha=(double) (QuantumScale*(double) GetPixelAlpha(image,p));
|
||
beta=(double) (QuantumScale*(double) GetPixelAlpha(image,r));
|
||
pixel+=weights[id][n]*(double) r[i];
|
||
gamma+=weights[id][n]*alpha*beta;
|
||
n++;
|
||
}
|
||
}
|
||
SetPixelChannel(blur_image,channel,ClampToQuantum(
|
||
PerceptibleReciprocal(gamma)*pixel),q);
|
||
}
|
||
q+=GetPixelChannels(blur_image);
|
||
}
|
||
if (SyncCacheViewAuthenticPixels(blur_view,exception) == MagickFalse)
|
||
status=MagickFalse;
|
||
if (image->progress_monitor != (MagickProgressMonitor) NULL)
|
||
{
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp atomic
|
||
#endif
|
||
progress++;
|
||
proceed=SetImageProgress(image,BilateralBlurImageTag,progress,
|
||
image->rows);
|
||
if (proceed == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
}
|
||
blur_image->type=image->type;
|
||
blur_view=DestroyCacheView(blur_view);
|
||
image_view=DestroyCacheView(image_view);
|
||
weights=DestroyBilateralTLS(number_threads,weights);
|
||
if (status == MagickFalse)
|
||
blur_image=DestroyImage(blur_image);
|
||
return(blur_image);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% C o n v o l v e I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% ConvolveImage() applies a custom convolution kernel to the image.
|
||
%
|
||
% The format of the ConvolveImage method is:
|
||
%
|
||
% Image *ConvolveImage(const Image *image,const KernelInfo *kernel,
|
||
% ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o kernel: the filtering kernel.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport Image *ConvolveImage(const Image *image,
|
||
const KernelInfo *kernel_info,ExceptionInfo *exception)
|
||
{
|
||
Image
|
||
*convolve_image;
|
||
|
||
convolve_image=MorphologyImage(image,ConvolveMorphology,1,kernel_info,
|
||
exception);
|
||
return(convolve_image);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% D e s p e c k l e I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% DespeckleImage() reduces the speckle noise in an image while preserving the
|
||
% edges of the original image. A speckle removing filter uses a complementary
|
||
% hulling technique (raising pixels that are darker than their surrounding
|
||
% neighbors, then complementarily lowering pixels that are brighter than their
|
||
% surrounding neighbors) to reduce the speckle index of that image (reference
|
||
% Crimmins speckle removal).
|
||
%
|
||
% The format of the DespeckleImage method is:
|
||
%
|
||
% Image *DespeckleImage(const Image *image,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
|
||
static void Hull(const Image *image,const ssize_t x_offset,
|
||
const ssize_t y_offset,const size_t columns,const size_t rows,
|
||
const int polarity,Quantum *magick_restrict f,Quantum *magick_restrict g)
|
||
{
|
||
Quantum
|
||
*p,
|
||
*q,
|
||
*r,
|
||
*s;
|
||
|
||
ssize_t
|
||
y;
|
||
|
||
assert(image != (const Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
assert(f != (Quantum *) NULL);
|
||
assert(g != (Quantum *) NULL);
|
||
assert(columns <= (MAGICK_SSIZE_MAX-2));
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
p=f+(columns+2);
|
||
q=g+(columns+2);
|
||
r=p+(y_offset*((ssize_t) columns+2)+x_offset);
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(static) \
|
||
magick_number_threads(image,image,rows,2)
|
||
#endif
|
||
for (y=0; y < (ssize_t) rows; y++)
|
||
{
|
||
MagickRealType
|
||
v;
|
||
|
||
ssize_t
|
||
i,
|
||
x;
|
||
|
||
i=(2*y+1)+y*(ssize_t) columns;
|
||
if (polarity > 0)
|
||
for (x=0; x < (ssize_t) columns; x++)
|
||
{
|
||
v=(MagickRealType) p[i];
|
||
if ((MagickRealType) r[i] >= (v+(double) ScaleCharToQuantum(2)))
|
||
v+=(double) ScaleCharToQuantum(1);
|
||
q[i]=(Quantum) v;
|
||
i++;
|
||
}
|
||
else
|
||
for (x=0; x < (ssize_t) columns; x++)
|
||
{
|
||
v=(MagickRealType) p[i];
|
||
if ((MagickRealType) r[i] <= (v-(double) ScaleCharToQuantum(2)))
|
||
v-=(double) ScaleCharToQuantum(1);
|
||
q[i]=(Quantum) v;
|
||
i++;
|
||
}
|
||
}
|
||
p=f+(columns+2);
|
||
q=g+(columns+2);
|
||
r=q+(y_offset*((ssize_t) columns+2)+x_offset);
|
||
s=q-(y_offset*((ssize_t) columns+2)+x_offset);
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(static) \
|
||
magick_number_threads(image,image,rows,2)
|
||
#endif
|
||
for (y=0; y < (ssize_t) rows; y++)
|
||
{
|
||
ssize_t
|
||
i,
|
||
x;
|
||
|
||
MagickRealType
|
||
v;
|
||
|
||
i=(2*y+1)+y*(ssize_t) columns;
|
||
if (polarity > 0)
|
||
for (x=0; x < (ssize_t) columns; x++)
|
||
{
|
||
v=(MagickRealType) q[i];
|
||
if (((MagickRealType) s[i] >= (v+(double) ScaleCharToQuantum(2))) &&
|
||
((MagickRealType) r[i] > v))
|
||
v+=(double) ScaleCharToQuantum(1);
|
||
p[i]=(Quantum) v;
|
||
i++;
|
||
}
|
||
else
|
||
for (x=0; x < (ssize_t) columns; x++)
|
||
{
|
||
v=(MagickRealType) q[i];
|
||
if (((MagickRealType) s[i] <= (v-(double) ScaleCharToQuantum(2))) &&
|
||
((MagickRealType) r[i] < v))
|
||
v-=(double) ScaleCharToQuantum(1);
|
||
p[i]=(Quantum) v;
|
||
i++;
|
||
}
|
||
}
|
||
}
|
||
|
||
MagickExport Image *DespeckleImage(const Image *image,ExceptionInfo *exception)
|
||
{
|
||
#define DespeckleImageTag "Despeckle/Image"
|
||
|
||
CacheView
|
||
*despeckle_view,
|
||
*image_view;
|
||
|
||
Image
|
||
*despeckle_image;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
MemoryInfo
|
||
*buffer_info,
|
||
*pixel_info;
|
||
|
||
Quantum
|
||
*magick_restrict buffer,
|
||
*magick_restrict pixels;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
length;
|
||
|
||
static const ssize_t
|
||
X[4] = {0, 1, 1,-1},
|
||
Y[4] = {1, 0, 1, 1};
|
||
|
||
/*
|
||
Allocate despeckled image.
|
||
*/
|
||
assert(image != (const Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
#if defined(MAGICKCORE_OPENCL_SUPPORT)
|
||
despeckle_image=AccelerateDespeckleImage(image,exception);
|
||
if (despeckle_image != (Image *) NULL)
|
||
return(despeckle_image);
|
||
#endif
|
||
despeckle_image=CloneImage(image,0,0,MagickTrue,exception);
|
||
if (despeckle_image == (Image *) NULL)
|
||
return((Image *) NULL);
|
||
status=SetImageStorageClass(despeckle_image,DirectClass,exception);
|
||
if (status == MagickFalse)
|
||
{
|
||
despeckle_image=DestroyImage(despeckle_image);
|
||
return((Image *) NULL);
|
||
}
|
||
/*
|
||
Allocate image buffer.
|
||
*/
|
||
length=(size_t) ((image->columns+2)*(image->rows+2));
|
||
pixel_info=AcquireVirtualMemory(length,sizeof(*pixels));
|
||
buffer_info=AcquireVirtualMemory(length,sizeof(*buffer));
|
||
if ((pixel_info == (MemoryInfo *) NULL) ||
|
||
(buffer_info == (MemoryInfo *) NULL))
|
||
{
|
||
if (buffer_info != (MemoryInfo *) NULL)
|
||
buffer_info=RelinquishVirtualMemory(buffer_info);
|
||
if (pixel_info != (MemoryInfo *) NULL)
|
||
pixel_info=RelinquishVirtualMemory(pixel_info);
|
||
despeckle_image=DestroyImage(despeckle_image);
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
}
|
||
pixels=(Quantum *) GetVirtualMemoryBlob(pixel_info);
|
||
buffer=(Quantum *) GetVirtualMemoryBlob(buffer_info);
|
||
/*
|
||
Reduce speckle in the image.
|
||
*/
|
||
status=MagickTrue;
|
||
image_view=AcquireVirtualCacheView(image,exception);
|
||
despeckle_view=AcquireAuthenticCacheView(despeckle_image,exception);
|
||
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
|
||
{
|
||
PixelChannel
|
||
channel;
|
||
|
||
PixelTrait
|
||
despeckle_traits,
|
||
traits;
|
||
|
||
ssize_t
|
||
k,
|
||
x;
|
||
|
||
ssize_t
|
||
j,
|
||
y;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
channel=GetPixelChannelChannel(image,i);
|
||
traits=GetPixelChannelTraits(image,channel);
|
||
despeckle_traits=GetPixelChannelTraits(despeckle_image,channel);
|
||
if ((traits == UndefinedPixelTrait) ||
|
||
(despeckle_traits == UndefinedPixelTrait))
|
||
continue;
|
||
if ((despeckle_traits & CopyPixelTrait) != 0)
|
||
continue;
|
||
(void) memset(pixels,0,length*sizeof(*pixels));
|
||
j=(ssize_t) image->columns+2;
|
||
for (y=0; y < (ssize_t) image->rows; y++)
|
||
{
|
||
const Quantum
|
||
*magick_restrict p;
|
||
|
||
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
|
||
if (p == (const Quantum *) NULL)
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
j++;
|
||
for (x=0; x < (ssize_t) image->columns; x++)
|
||
{
|
||
pixels[j++]=p[i];
|
||
p+=GetPixelChannels(image);
|
||
}
|
||
j++;
|
||
}
|
||
(void) memset(buffer,0,length*sizeof(*buffer));
|
||
for (k=0; k < 4; k++)
|
||
{
|
||
Hull(image,X[k],Y[k],image->columns,image->rows,1,pixels,buffer);
|
||
Hull(image,-X[k],-Y[k],image->columns,image->rows,1,pixels,buffer);
|
||
Hull(image,-X[k],-Y[k],image->columns,image->rows,-1,pixels,buffer);
|
||
Hull(image,X[k],Y[k],image->columns,image->rows,-1,pixels,buffer);
|
||
}
|
||
j=(ssize_t) image->columns+2;
|
||
for (y=0; y < (ssize_t) image->rows; y++)
|
||
{
|
||
MagickBooleanType
|
||
sync;
|
||
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
q=GetCacheViewAuthenticPixels(despeckle_view,0,y,despeckle_image->columns,
|
||
1,exception);
|
||
if (q == (Quantum *) NULL)
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
j++;
|
||
for (x=0; x < (ssize_t) image->columns; x++)
|
||
{
|
||
SetPixelChannel(despeckle_image,channel,pixels[j++],q);
|
||
q+=GetPixelChannels(despeckle_image);
|
||
}
|
||
sync=SyncCacheViewAuthenticPixels(despeckle_view,exception);
|
||
if (sync == MagickFalse)
|
||
status=MagickFalse;
|
||
j++;
|
||
}
|
||
if (image->progress_monitor != (MagickProgressMonitor) NULL)
|
||
{
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
proceed=SetImageProgress(image,DespeckleImageTag,(MagickOffsetType) i,
|
||
GetPixelChannels(image));
|
||
if (proceed == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
}
|
||
despeckle_view=DestroyCacheView(despeckle_view);
|
||
image_view=DestroyCacheView(image_view);
|
||
buffer_info=RelinquishVirtualMemory(buffer_info);
|
||
pixel_info=RelinquishVirtualMemory(pixel_info);
|
||
despeckle_image->type=image->type;
|
||
if (status == MagickFalse)
|
||
despeckle_image=DestroyImage(despeckle_image);
|
||
return(despeckle_image);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% E d g e I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% EdgeImage() finds edges in an image. Radius defines the radius of the
|
||
% convolution filter. Use a radius of 0 and EdgeImage() selects a suitable
|
||
% radius for you.
|
||
%
|
||
% The format of the EdgeImage method is:
|
||
%
|
||
% Image *EdgeImage(const Image *image,const double radius,
|
||
% ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o radius: the radius of the pixel neighborhood.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport Image *EdgeImage(const Image *image,const double radius,
|
||
ExceptionInfo *exception)
|
||
{
|
||
Image
|
||
*edge_image;
|
||
|
||
KernelInfo
|
||
*kernel_info;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
width;
|
||
|
||
assert(image != (const Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
width=GetOptimalKernelWidth1D(radius,0.5);
|
||
kernel_info=AcquireKernelInfo((const char *) NULL,exception);
|
||
if (kernel_info == (KernelInfo *) NULL)
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
(void) memset(kernel_info,0,sizeof(*kernel_info));
|
||
kernel_info->width=width;
|
||
kernel_info->height=width;
|
||
kernel_info->x=(ssize_t) (kernel_info->width-1)/2;
|
||
kernel_info->y=(ssize_t) (kernel_info->height-1)/2;
|
||
kernel_info->signature=MagickCoreSignature;
|
||
kernel_info->values=(MagickRealType *) MagickAssumeAligned(
|
||
AcquireAlignedMemory(kernel_info->width,kernel_info->height*
|
||
sizeof(*kernel_info->values)));
|
||
if (kernel_info->values == (MagickRealType *) NULL)
|
||
{
|
||
kernel_info=DestroyKernelInfo(kernel_info);
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
}
|
||
for (i=0; i < (ssize_t) (kernel_info->width*kernel_info->height); i++)
|
||
kernel_info->values[i]=(-1.0);
|
||
kernel_info->values[i/2]=(double) kernel_info->width*kernel_info->height-1.0;
|
||
edge_image=ConvolveImage(image,kernel_info,exception);
|
||
kernel_info=DestroyKernelInfo(kernel_info);
|
||
return(edge_image);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% E m b o s s I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% EmbossImage() returns a grayscale image with a three-dimensional effect.
|
||
% We convolve the image with a Gaussian operator of the given radius and
|
||
% standard deviation (sigma). For reasonable results, radius should be
|
||
% larger than sigma. Use a radius of 0 and Emboss() selects a suitable
|
||
% radius for you.
|
||
%
|
||
% The format of the EmbossImage method is:
|
||
%
|
||
% Image *EmbossImage(const Image *image,const double radius,
|
||
% const double sigma,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o radius: the radius of the pixel neighborhood.
|
||
%
|
||
% o sigma: the standard deviation of the Gaussian, in pixels.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport Image *EmbossImage(const Image *image,const double radius,
|
||
const double sigma,ExceptionInfo *exception)
|
||
{
|
||
double
|
||
gamma,
|
||
normalize;
|
||
|
||
Image
|
||
*emboss_image;
|
||
|
||
KernelInfo
|
||
*kernel_info;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
width;
|
||
|
||
ssize_t
|
||
j,
|
||
k,
|
||
u,
|
||
v;
|
||
|
||
assert(image != (const Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
width=GetOptimalKernelWidth1D(radius,sigma);
|
||
kernel_info=AcquireKernelInfo((const char *) NULL,exception);
|
||
if (kernel_info == (KernelInfo *) NULL)
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
kernel_info->width=width;
|
||
kernel_info->height=width;
|
||
kernel_info->x=(ssize_t) (width-1)/2;
|
||
kernel_info->y=(ssize_t) (width-1)/2;
|
||
kernel_info->values=(MagickRealType *) MagickAssumeAligned(
|
||
AcquireAlignedMemory(kernel_info->width,kernel_info->width*
|
||
sizeof(*kernel_info->values)));
|
||
if (kernel_info->values == (MagickRealType *) NULL)
|
||
{
|
||
kernel_info=DestroyKernelInfo(kernel_info);
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
}
|
||
j=(ssize_t) (kernel_info->width-1)/2;
|
||
k=j;
|
||
i=0;
|
||
for (v=(-j); v <= j; v++)
|
||
{
|
||
for (u=(-j); u <= j; u++)
|
||
{
|
||
kernel_info->values[i]=(MagickRealType) (((u < 0) || (v < 0) ? -8.0 :
|
||
8.0)*exp(-((double) u*u+v*v)/(2.0*MagickSigma*MagickSigma))/
|
||
(2.0*MagickPI*MagickSigma*MagickSigma));
|
||
if (u != k)
|
||
kernel_info->values[i]=0.0;
|
||
i++;
|
||
}
|
||
k--;
|
||
}
|
||
normalize=0.0;
|
||
for (i=0; i < (ssize_t) (kernel_info->width*kernel_info->height); i++)
|
||
normalize+=kernel_info->values[i];
|
||
gamma=PerceptibleReciprocal(normalize);
|
||
for (i=0; i < (ssize_t) (kernel_info->width*kernel_info->height); i++)
|
||
kernel_info->values[i]*=gamma;
|
||
emboss_image=ConvolveImage(image,kernel_info,exception);
|
||
kernel_info=DestroyKernelInfo(kernel_info);
|
||
if (emboss_image != (Image *) NULL)
|
||
(void) EqualizeImage(emboss_image,exception);
|
||
return(emboss_image);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% G a u s s i a n B l u r I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% GaussianBlurImage() blurs an image. We convolve the image with a
|
||
% Gaussian operator of the given radius and standard deviation (sigma).
|
||
% For reasonable results, the radius should be larger than sigma. Use a
|
||
% radius of 0 and GaussianBlurImage() selects a suitable radius for you.
|
||
%
|
||
% The format of the GaussianBlurImage method is:
|
||
%
|
||
% Image *GaussianBlurImage(const Image *image,const double radius,
|
||
% const double sigma,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o radius: the radius of the Gaussian, in pixels, not counting the center
|
||
% pixel.
|
||
%
|
||
% o sigma: the standard deviation of the Gaussian, in pixels.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport Image *GaussianBlurImage(const Image *image,const double radius,
|
||
const double sigma,ExceptionInfo *exception)
|
||
{
|
||
char
|
||
geometry[MagickPathExtent];
|
||
|
||
KernelInfo
|
||
*kernel_info;
|
||
|
||
Image
|
||
*blur_image;
|
||
|
||
assert(image != (const Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
(void) FormatLocaleString(geometry,MagickPathExtent,"gaussian:%.20gx%.20g",
|
||
radius,sigma);
|
||
kernel_info=AcquireKernelInfo(geometry,exception);
|
||
if (kernel_info == (KernelInfo *) NULL)
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
blur_image=ConvolveImage(image,kernel_info,exception);
|
||
kernel_info=DestroyKernelInfo(kernel_info);
|
||
return(blur_image);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% K u w a h a r a I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% KuwaharaImage() is an edge preserving noise reduction filter.
|
||
%
|
||
% The format of the KuwaharaImage method is:
|
||
%
|
||
% Image *KuwaharaImage(const Image *image,const double radius,
|
||
% const double sigma,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o radius: the square window radius.
|
||
%
|
||
% o sigma: the standard deviation of the Gaussian, in pixels.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
|
||
static inline MagickRealType GetMeanLuma(const Image *magick_restrict image,
|
||
const double *magick_restrict pixel)
|
||
{
|
||
return(0.212656*pixel[image->channel_map[RedPixelChannel].offset]+
|
||
0.715158*pixel[image->channel_map[GreenPixelChannel].offset]+
|
||
0.072186*pixel[image->channel_map[BluePixelChannel].offset]); /* Rec709 */
|
||
}
|
||
|
||
MagickExport Image *KuwaharaImage(const Image *image,const double radius,
|
||
const double sigma,ExceptionInfo *exception)
|
||
{
|
||
#define KuwaharaImageTag "Kuwahara/Image"
|
||
|
||
CacheView
|
||
*image_view,
|
||
*kuwahara_view;
|
||
|
||
Image
|
||
*gaussian_image,
|
||
*kuwahara_image;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
MagickOffsetType
|
||
progress;
|
||
|
||
size_t
|
||
width;
|
||
|
||
ssize_t
|
||
y;
|
||
|
||
/*
|
||
Initialize Kuwahara image attributes.
|
||
*/
|
||
assert(image != (Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
width=(size_t) radius+1;
|
||
gaussian_image=BlurImage(image,radius,sigma,exception);
|
||
if (gaussian_image == (Image *) NULL)
|
||
return((Image *) NULL);
|
||
kuwahara_image=CloneImage(image,0,0,MagickTrue,exception);
|
||
if (kuwahara_image == (Image *) NULL)
|
||
{
|
||
gaussian_image=DestroyImage(gaussian_image);
|
||
return((Image *) NULL);
|
||
}
|
||
if (SetImageStorageClass(kuwahara_image,DirectClass,exception) == MagickFalse)
|
||
{
|
||
gaussian_image=DestroyImage(gaussian_image);
|
||
kuwahara_image=DestroyImage(kuwahara_image);
|
||
return((Image *) NULL);
|
||
}
|
||
/*
|
||
Edge preserving noise reduction filter.
|
||
*/
|
||
status=MagickTrue;
|
||
progress=0;
|
||
image_view=AcquireVirtualCacheView(gaussian_image,exception);
|
||
kuwahara_view=AcquireAuthenticCacheView(kuwahara_image,exception);
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(static) shared(progress,status) \
|
||
magick_number_threads(image,kuwahara_image,gaussian_image->rows,1)
|
||
#endif
|
||
for (y=0; y < (ssize_t) gaussian_image->rows; y++)
|
||
{
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
q=QueueCacheViewAuthenticPixels(kuwahara_view,0,y,kuwahara_image->columns,1,
|
||
exception);
|
||
if (q == (Quantum *) NULL)
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
for (x=0; x < (ssize_t) gaussian_image->columns; x++)
|
||
{
|
||
const Quantum
|
||
*magick_restrict p;
|
||
|
||
double
|
||
min_variance;
|
||
|
||
RectangleInfo
|
||
quadrant,
|
||
target;
|
||
|
||
size_t
|
||
i;
|
||
|
||
min_variance=MagickMaximumValue;
|
||
SetGeometry(gaussian_image,&target);
|
||
quadrant.width=width;
|
||
quadrant.height=width;
|
||
for (i=0; i < 4; i++)
|
||
{
|
||
const Quantum
|
||
*magick_restrict k;
|
||
|
||
double
|
||
mean[MaxPixelChannels],
|
||
variance;
|
||
|
||
ssize_t
|
||
n;
|
||
|
||
ssize_t
|
||
j;
|
||
|
||
quadrant.x=x;
|
||
quadrant.y=y;
|
||
switch (i)
|
||
{
|
||
case 0:
|
||
{
|
||
quadrant.x=x-(ssize_t) (width-1);
|
||
quadrant.y=y-(ssize_t) (width-1);
|
||
break;
|
||
}
|
||
case 1:
|
||
{
|
||
quadrant.y=y-(ssize_t) (width-1);
|
||
break;
|
||
}
|
||
case 2:
|
||
{
|
||
quadrant.x=x-(ssize_t) (width-1);
|
||
break;
|
||
}
|
||
case 3:
|
||
default:
|
||
break;
|
||
}
|
||
p=GetCacheViewVirtualPixels(image_view,quadrant.x,quadrant.y,
|
||
quadrant.width,quadrant.height,exception);
|
||
if (p == (const Quantum *) NULL)
|
||
break;
|
||
for (j=0; j < (ssize_t) GetPixelChannels(gaussian_image); j++)
|
||
mean[j]=0.0;
|
||
k=p;
|
||
for (n=0; n < (ssize_t) (width*width); n++)
|
||
{
|
||
for (j=0; j < (ssize_t) GetPixelChannels(gaussian_image); j++)
|
||
mean[j]+=(double) k[j];
|
||
k+=GetPixelChannels(gaussian_image);
|
||
}
|
||
for (j=0; j < (ssize_t) GetPixelChannels(gaussian_image); j++)
|
||
mean[j]/=(double) (width*width);
|
||
k=p;
|
||
variance=0.0;
|
||
for (n=0; n < (ssize_t) (width*width); n++)
|
||
{
|
||
double
|
||
luma;
|
||
|
||
luma=GetPixelLuma(gaussian_image,k);
|
||
variance+=(luma-GetMeanLuma(gaussian_image,mean))*
|
||
(luma-GetMeanLuma(gaussian_image,mean));
|
||
k+=GetPixelChannels(gaussian_image);
|
||
}
|
||
if (variance < min_variance)
|
||
{
|
||
min_variance=variance;
|
||
target=quadrant;
|
||
}
|
||
}
|
||
if (i < 4)
|
||
{
|
||
status=MagickFalse;
|
||
break;
|
||
}
|
||
status=InterpolatePixelChannels(gaussian_image,image_view,kuwahara_image,
|
||
UndefinedInterpolatePixel,(double) target.x+target.width/2.0,(double)
|
||
target.y+target.height/2.0,q,exception);
|
||
if (status == MagickFalse)
|
||
break;
|
||
q+=GetPixelChannels(kuwahara_image);
|
||
}
|
||
if (SyncCacheViewAuthenticPixels(kuwahara_view,exception) == MagickFalse)
|
||
status=MagickFalse;
|
||
if (image->progress_monitor != (MagickProgressMonitor) NULL)
|
||
{
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp atomic
|
||
#endif
|
||
progress++;
|
||
proceed=SetImageProgress(image,KuwaharaImageTag,progress,image->rows);
|
||
if (proceed == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
}
|
||
kuwahara_view=DestroyCacheView(kuwahara_view);
|
||
image_view=DestroyCacheView(image_view);
|
||
gaussian_image=DestroyImage(gaussian_image);
|
||
if (status == MagickFalse)
|
||
kuwahara_image=DestroyImage(kuwahara_image);
|
||
return(kuwahara_image);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% L o c a l C o n t r a s t I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% LocalContrastImage() attempts to increase the appearance of large-scale
|
||
% light-dark transitions. Local contrast enhancement works similarly to
|
||
% sharpening with an unsharp mask, however the mask is instead created using
|
||
% an image with a greater blur distance.
|
||
%
|
||
% The format of the LocalContrastImage method is:
|
||
%
|
||
% Image *LocalContrastImage(const Image *image, const double radius,
|
||
% const double strength,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o radius: the radius of the Gaussian blur, in percentage with 100%
|
||
% resulting in a blur radius of 20% of largest dimension.
|
||
%
|
||
% o strength: the strength of the blur mask in percentage.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport Image *LocalContrastImage(const Image *image,const double radius,
|
||
const double strength,ExceptionInfo *exception)
|
||
{
|
||
#define LocalContrastImageTag "LocalContrast/Image"
|
||
|
||
CacheView
|
||
*image_view,
|
||
*contrast_view;
|
||
|
||
double
|
||
totalWeight;
|
||
|
||
float
|
||
*interImage,
|
||
*scanline;
|
||
|
||
Image
|
||
*contrast_image;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
MemoryInfo
|
||
*scanline_info,
|
||
*interImage_info;
|
||
|
||
ssize_t
|
||
scanLineSize,
|
||
width;
|
||
|
||
/*
|
||
Initialize contrast image attributes.
|
||
*/
|
||
assert(image != (const Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
#if defined(MAGICKCORE_OPENCL_SUPPORT)
|
||
contrast_image=AccelerateLocalContrastImage(image,radius,strength,exception);
|
||
if (contrast_image != (Image *) NULL)
|
||
return(contrast_image);
|
||
#endif
|
||
contrast_image=CloneImage(image,0,0,MagickTrue,exception);
|
||
if (contrast_image == (Image *) NULL)
|
||
return((Image *) NULL);
|
||
if (SetImageStorageClass(contrast_image,DirectClass,exception) == MagickFalse)
|
||
{
|
||
contrast_image=DestroyImage(contrast_image);
|
||
return((Image *) NULL);
|
||
}
|
||
image_view=AcquireVirtualCacheView(image,exception);
|
||
contrast_view=AcquireAuthenticCacheView(contrast_image,exception);
|
||
scanLineSize=(ssize_t) MagickMax(image->columns,image->rows);
|
||
width=(ssize_t) scanLineSize*0.002*fabs(radius);
|
||
scanLineSize+=(2*width);
|
||
scanline_info=AcquireVirtualMemory(GetOpenMPMaximumThreads()*
|
||
(size_t) scanLineSize,sizeof(*scanline));
|
||
if (scanline_info == (MemoryInfo *) NULL)
|
||
{
|
||
contrast_view=DestroyCacheView(contrast_view);
|
||
image_view=DestroyCacheView(image_view);
|
||
contrast_image=DestroyImage(contrast_image);
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
}
|
||
scanline=(float *) GetVirtualMemoryBlob(scanline_info);
|
||
/*
|
||
Create intermediate buffer.
|
||
*/
|
||
interImage_info=AcquireVirtualMemory(image->rows*(image->columns+(size_t)
|
||
(2*width)),sizeof(*interImage));
|
||
if (interImage_info == (MemoryInfo *) NULL)
|
||
{
|
||
scanline_info=RelinquishVirtualMemory(scanline_info);
|
||
contrast_view=DestroyCacheView(contrast_view);
|
||
image_view=DestroyCacheView(image_view);
|
||
contrast_image=DestroyImage(contrast_image);
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
}
|
||
interImage=(float *) GetVirtualMemoryBlob(interImage_info);
|
||
totalWeight=(float) ((width+1)*(width+1));
|
||
/*
|
||
Vertical pass.
|
||
*/
|
||
status=MagickTrue;
|
||
{
|
||
ssize_t
|
||
x;
|
||
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(static) \
|
||
magick_number_threads(image,image,image->columns,1)
|
||
#endif
|
||
for (x=0; x < (ssize_t) image->columns; x++)
|
||
{
|
||
const int
|
||
id = GetOpenMPThreadId();
|
||
|
||
const Quantum
|
||
*magick_restrict p;
|
||
|
||
float
|
||
*out,
|
||
*pix,
|
||
*pixels;
|
||
|
||
ssize_t
|
||
y;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
pixels=scanline;
|
||
pixels+=id*scanLineSize;
|
||
pix=pixels;
|
||
p=GetCacheViewVirtualPixels(image_view,x,-(ssize_t) width,1,
|
||
image->rows+(size_t) (2*width),exception);
|
||
if (p == (const Quantum *) NULL)
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
for (y=0; y < (ssize_t) image->rows+(2*width); y++)
|
||
{
|
||
*pix++=(float)GetPixelLuma(image,p);
|
||
p+=image->number_channels;
|
||
}
|
||
out=interImage+x+width;
|
||
for (y=0; y < (ssize_t) image->rows; y++)
|
||
{
|
||
double
|
||
sum,
|
||
weight;
|
||
|
||
weight=1.0;
|
||
sum=0;
|
||
pix=pixels+y;
|
||
for (i=0; i < width; i++)
|
||
{
|
||
sum+=weight*((double) *pix++);
|
||
weight+=1.0;
|
||
}
|
||
for (i=width+1; i < (2*width); i++)
|
||
{
|
||
sum+=weight*((double) *pix++);
|
||
weight-=1.0;
|
||
}
|
||
/* write to output */
|
||
*out=sum/totalWeight;
|
||
/* mirror into padding */
|
||
if ((x <= width) && (x != 0))
|
||
*(out-(x*2))=*out;
|
||
if ((x > (ssize_t) image->columns-width-2) &&
|
||
(x != (ssize_t) image->columns-1))
|
||
*(out+((image->columns-(size_t) x-1)*2))=*out;
|
||
out+=image->columns+(size_t) (width*2);
|
||
}
|
||
}
|
||
}
|
||
/*
|
||
Horizontal pass.
|
||
*/
|
||
{
|
||
ssize_t
|
||
y;
|
||
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(static) \
|
||
magick_number_threads(image,image,image->rows,1)
|
||
#endif
|
||
for (y=0; y < (ssize_t) image->rows; y++)
|
||
{
|
||
const int
|
||
id = GetOpenMPThreadId();
|
||
|
||
const Quantum
|
||
*magick_restrict p;
|
||
|
||
float
|
||
*pix,
|
||
*pixels;
|
||
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
ssize_t
|
||
i,
|
||
x;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
pixels=scanline;
|
||
pixels+=id*scanLineSize;
|
||
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
|
||
q=GetCacheViewAuthenticPixels(contrast_view,0,y,image->columns,1,
|
||
exception);
|
||
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
memcpy(pixels,interImage+((size_t) y*(image->columns+(size_t) (2*width))),
|
||
(image->columns+(size_t) (2*width))*sizeof(float));
|
||
for (x=0; x < (ssize_t) image->columns; x++)
|
||
{
|
||
double
|
||
mult,
|
||
srcVal,
|
||
sum,
|
||
weight;
|
||
|
||
PixelTrait
|
||
traits;
|
||
|
||
weight=1.0;
|
||
sum=0;
|
||
pix=pixels+x;
|
||
for (i=0; i < width; i++)
|
||
{
|
||
sum+=weight*((double) *pix++);
|
||
weight+=1.0;
|
||
}
|
||
for (i=width+1; i < (2*width); i++)
|
||
{
|
||
sum+=weight*((double) *pix++);
|
||
weight-=1.0;
|
||
}
|
||
/*
|
||
Apply and write.
|
||
*/
|
||
srcVal=(float) GetPixelLuma(image,p);
|
||
mult=(srcVal-(sum/totalWeight))*(strength/100.0);
|
||
mult=(srcVal+mult)/srcVal;
|
||
traits=GetPixelChannelTraits(image,RedPixelChannel);
|
||
if ((traits & UpdatePixelTrait) != 0)
|
||
SetPixelRed(contrast_image,ClampToQuantum((MagickRealType)
|
||
GetPixelRed(image,p)*mult),q);
|
||
traits=GetPixelChannelTraits(image,GreenPixelChannel);
|
||
if ((traits & UpdatePixelTrait) != 0)
|
||
SetPixelGreen(contrast_image,ClampToQuantum((MagickRealType)
|
||
GetPixelGreen(image,p)*mult),q);
|
||
traits=GetPixelChannelTraits(image,BluePixelChannel);
|
||
if ((traits & UpdatePixelTrait) != 0)
|
||
SetPixelBlue(contrast_image,ClampToQuantum((MagickRealType)
|
||
GetPixelBlue(image,p)*mult),q);
|
||
p+=image->number_channels;
|
||
q+=contrast_image->number_channels;
|
||
}
|
||
if (SyncCacheViewAuthenticPixels(contrast_view,exception) == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
}
|
||
scanline_info=RelinquishVirtualMemory(scanline_info);
|
||
interImage_info=RelinquishVirtualMemory(interImage_info);
|
||
contrast_view=DestroyCacheView(contrast_view);
|
||
image_view=DestroyCacheView(image_view);
|
||
if (status == MagickFalse)
|
||
contrast_image=DestroyImage(contrast_image);
|
||
return(contrast_image);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% M o t i o n B l u r I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% MotionBlurImage() simulates motion blur. We convolve the image with a
|
||
% Gaussian operator of the given radius and standard deviation (sigma).
|
||
% For reasonable results, radius should be larger than sigma. Use a
|
||
% radius of 0 and MotionBlurImage() selects a suitable radius for you.
|
||
% Angle gives the angle of the blurring motion.
|
||
%
|
||
% Andrew Protano contributed this effect.
|
||
%
|
||
% The format of the MotionBlurImage method is:
|
||
%
|
||
% Image *MotionBlurImage(const Image *image,const double radius,
|
||
% const double sigma,const double angle,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o radius: the radius of the Gaussian, in pixels, not counting
|
||
% the center pixel.
|
||
%
|
||
% o sigma: the standard deviation of the Gaussian, in pixels.
|
||
%
|
||
% o angle: Apply the effect along this angle.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
|
||
static MagickRealType *GetMotionBlurKernel(const size_t width,
|
||
const double sigma)
|
||
{
|
||
MagickRealType
|
||
*kernel,
|
||
normalize;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
/*
|
||
Generate a 1-D convolution kernel.
|
||
*/
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
|
||
kernel=(MagickRealType *) MagickAssumeAligned(AcquireAlignedMemory((size_t)
|
||
width,sizeof(*kernel)));
|
||
if (kernel == (MagickRealType *) NULL)
|
||
return(kernel);
|
||
normalize=0.0;
|
||
for (i=0; i < (ssize_t) width; i++)
|
||
{
|
||
kernel[i]=(MagickRealType) (exp((-((double) i*i)/(double) (2.0*MagickSigma*
|
||
MagickSigma)))/(MagickSQ2PI*MagickSigma));
|
||
normalize+=kernel[i];
|
||
}
|
||
for (i=0; i < (ssize_t) width; i++)
|
||
kernel[i]/=normalize;
|
||
return(kernel);
|
||
}
|
||
|
||
MagickExport Image *MotionBlurImage(const Image *image,const double radius,
|
||
const double sigma,const double angle,ExceptionInfo *exception)
|
||
{
|
||
#define BlurImageTag "Blur/Image"
|
||
|
||
CacheView
|
||
*blur_view,
|
||
*image_view,
|
||
*motion_view;
|
||
|
||
Image
|
||
*blur_image;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
MagickOffsetType
|
||
progress;
|
||
|
||
MagickRealType
|
||
*kernel;
|
||
|
||
OffsetInfo
|
||
*offset;
|
||
|
||
PointInfo
|
||
point;
|
||
|
||
size_t
|
||
width;
|
||
|
||
ssize_t
|
||
w,
|
||
y;
|
||
|
||
assert(image != (Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
width=GetOptimalKernelWidth1D(radius,sigma);
|
||
kernel=GetMotionBlurKernel(width,sigma);
|
||
if (kernel == (MagickRealType *) NULL)
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
offset=(OffsetInfo *) AcquireQuantumMemory(width,sizeof(*offset));
|
||
if (offset == (OffsetInfo *) NULL)
|
||
{
|
||
kernel=(MagickRealType *) RelinquishAlignedMemory(kernel);
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
}
|
||
point.x=(double) width*sin(DegreesToRadians(angle));
|
||
point.y=(double) width*cos(DegreesToRadians(angle));
|
||
for (w=0; w < (ssize_t) width; w++)
|
||
{
|
||
offset[w].x=CastDoubleToLong(ceil((double) (w*point.y)/
|
||
hypot(point.x,point.y)-0.5));
|
||
offset[w].y=CastDoubleToLong(ceil((double) (w*point.x)/
|
||
hypot(point.x,point.y)-0.5));
|
||
}
|
||
/*
|
||
Motion blur image.
|
||
*/
|
||
#if defined(MAGICKCORE_OPENCL_SUPPORT)
|
||
blur_image=AccelerateMotionBlurImage(image,kernel,width,offset,exception);
|
||
if (blur_image != (Image *) NULL)
|
||
{
|
||
kernel=(MagickRealType *) RelinquishAlignedMemory(kernel);
|
||
offset=(OffsetInfo *) RelinquishMagickMemory(offset);
|
||
return(blur_image);
|
||
}
|
||
#endif
|
||
blur_image=CloneImage(image,0,0,MagickTrue,exception);
|
||
if (blur_image == (Image *) NULL)
|
||
{
|
||
kernel=(MagickRealType *) RelinquishAlignedMemory(kernel);
|
||
offset=(OffsetInfo *) RelinquishMagickMemory(offset);
|
||
return((Image *) NULL);
|
||
}
|
||
if (SetImageStorageClass(blur_image,DirectClass,exception) == MagickFalse)
|
||
{
|
||
kernel=(MagickRealType *) RelinquishAlignedMemory(kernel);
|
||
offset=(OffsetInfo *) RelinquishMagickMemory(offset);
|
||
blur_image=DestroyImage(blur_image);
|
||
return((Image *) NULL);
|
||
}
|
||
status=MagickTrue;
|
||
progress=0;
|
||
image_view=AcquireVirtualCacheView(image,exception);
|
||
motion_view=AcquireVirtualCacheView(image,exception);
|
||
blur_view=AcquireAuthenticCacheView(blur_image,exception);
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(static) shared(progress,status) \
|
||
magick_number_threads(image,blur_image,image->rows,1)
|
||
#endif
|
||
for (y=0; y < (ssize_t) image->rows; y++)
|
||
{
|
||
const Quantum
|
||
*magick_restrict p;
|
||
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
|
||
q=QueueCacheViewAuthenticPixels(blur_view,0,y,blur_image->columns,1,
|
||
exception);
|
||
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
for (x=0; x < (ssize_t) image->columns; x++)
|
||
{
|
||
ssize_t
|
||
i;
|
||
|
||
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
|
||
{
|
||
double
|
||
alpha = 0.0,
|
||
gamma = 0.0,
|
||
pixel;
|
||
|
||
PixelChannel
|
||
channel;
|
||
|
||
PixelTrait
|
||
blur_traits,
|
||
traits;
|
||
|
||
const Quantum
|
||
*magick_restrict r;
|
||
|
||
MagickRealType
|
||
*magick_restrict k;
|
||
|
||
ssize_t
|
||
j;
|
||
|
||
channel=GetPixelChannelChannel(image,i);
|
||
traits=GetPixelChannelTraits(image,channel);
|
||
blur_traits=GetPixelChannelTraits(blur_image,channel);
|
||
if ((traits == UndefinedPixelTrait) ||
|
||
(blur_traits == UndefinedPixelTrait))
|
||
continue;
|
||
if ((blur_traits & CopyPixelTrait) != 0)
|
||
{
|
||
SetPixelChannel(blur_image,channel,p[i],q);
|
||
continue;
|
||
}
|
||
k=kernel;
|
||
pixel=0.0;
|
||
if ((blur_traits & BlendPixelTrait) == 0)
|
||
{
|
||
for (j=0; j < (ssize_t) width; j++)
|
||
{
|
||
r=GetCacheViewVirtualPixels(motion_view,x+offset[j].x,y+
|
||
offset[j].y,1,1,exception);
|
||
if (r == (const Quantum *) NULL)
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
pixel+=(*k)*(double) r[i];
|
||
k++;
|
||
}
|
||
SetPixelChannel(blur_image,channel,ClampToQuantum(pixel),q);
|
||
continue;
|
||
}
|
||
for (j=0; j < (ssize_t) width; j++)
|
||
{
|
||
r=GetCacheViewVirtualPixels(motion_view,x+offset[j].x,y+offset[j].y,1,
|
||
1,exception);
|
||
if (r == (const Quantum *) NULL)
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
alpha=QuantumScale*(double) GetPixelAlpha(image,r);
|
||
pixel+=(*k)*alpha*(double) r[i];
|
||
gamma+=(*k)*alpha;
|
||
k++;
|
||
}
|
||
gamma=PerceptibleReciprocal(gamma);
|
||
SetPixelChannel(blur_image,channel,ClampToQuantum(gamma*pixel),q);
|
||
}
|
||
p+=GetPixelChannels(image);
|
||
q+=GetPixelChannels(blur_image);
|
||
}
|
||
if (SyncCacheViewAuthenticPixels(blur_view,exception) == MagickFalse)
|
||
status=MagickFalse;
|
||
if (image->progress_monitor != (MagickProgressMonitor) NULL)
|
||
{
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp atomic
|
||
#endif
|
||
progress++;
|
||
proceed=SetImageProgress(image,BlurImageTag,progress,image->rows);
|
||
if (proceed == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
}
|
||
blur_view=DestroyCacheView(blur_view);
|
||
motion_view=DestroyCacheView(motion_view);
|
||
image_view=DestroyCacheView(image_view);
|
||
kernel=(MagickRealType *) RelinquishAlignedMemory(kernel);
|
||
offset=(OffsetInfo *) RelinquishMagickMemory(offset);
|
||
if (status == MagickFalse)
|
||
blur_image=DestroyImage(blur_image);
|
||
return(blur_image);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% P r e v i e w I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% PreviewImage() tiles 9 thumbnails of the specified image with an image
|
||
% processing operation applied with varying parameters. This may be helpful
|
||
% pin-pointing an appropriate parameter for a particular image processing
|
||
% operation.
|
||
%
|
||
% The format of the PreviewImages method is:
|
||
%
|
||
% Image *PreviewImages(const Image *image,const PreviewType preview,
|
||
% ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o preview: the image processing operation.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport Image *PreviewImage(const Image *image,const PreviewType preview,
|
||
ExceptionInfo *exception)
|
||
{
|
||
#define NumberTiles 9
|
||
#define PreviewImageTag "Preview/Image"
|
||
#define DefaultPreviewGeometry "204x204+10+10"
|
||
|
||
char
|
||
factor[MagickPathExtent],
|
||
label[MagickPathExtent];
|
||
|
||
double
|
||
degrees,
|
||
gamma,
|
||
percentage,
|
||
radius,
|
||
sigma,
|
||
threshold;
|
||
|
||
Image
|
||
*images,
|
||
*montage_image,
|
||
*preview_image,
|
||
*thumbnail;
|
||
|
||
ImageInfo
|
||
*preview_info;
|
||
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
MontageInfo
|
||
*montage_info;
|
||
|
||
QuantizeInfo
|
||
quantize_info;
|
||
|
||
RectangleInfo
|
||
geometry;
|
||
|
||
size_t
|
||
colors;
|
||
|
||
ssize_t
|
||
i,
|
||
x = 0,
|
||
y = 0;
|
||
|
||
/*
|
||
Open output image file.
|
||
*/
|
||
assert(image != (Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
colors=2;
|
||
degrees=0.0;
|
||
gamma=(-0.2f);
|
||
preview_info=AcquireImageInfo();
|
||
SetGeometry(image,&geometry);
|
||
(void) ParseMetaGeometry(DefaultPreviewGeometry,&geometry.x,&geometry.y,
|
||
&geometry.width,&geometry.height);
|
||
images=NewImageList();
|
||
percentage=12.5;
|
||
GetQuantizeInfo(&quantize_info);
|
||
radius=0.0;
|
||
sigma=1.0;
|
||
threshold=0.0;
|
||
for (i=0; i < NumberTiles; i++)
|
||
{
|
||
thumbnail=ThumbnailImage(image,geometry.width,geometry.height,exception);
|
||
if (thumbnail == (Image *) NULL)
|
||
break;
|
||
(void) SetImageProgressMonitor(thumbnail,(MagickProgressMonitor) NULL,
|
||
(void *) NULL);
|
||
(void) SetImageProperty(thumbnail,"label",DefaultTileLabel,exception);
|
||
if (i == (NumberTiles/2))
|
||
{
|
||
(void) QueryColorCompliance("#dfdfdf",AllCompliance,
|
||
&thumbnail->matte_color,exception);
|
||
AppendImageToList(&images,thumbnail);
|
||
continue;
|
||
}
|
||
switch (preview)
|
||
{
|
||
case RotatePreview:
|
||
{
|
||
degrees+=45.0;
|
||
preview_image=RotateImage(thumbnail,degrees,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"rotate %g",degrees);
|
||
break;
|
||
}
|
||
case ShearPreview:
|
||
{
|
||
degrees+=5.0;
|
||
preview_image=ShearImage(thumbnail,degrees,degrees,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"shear %gx%g",degrees,
|
||
2.0*degrees);
|
||
break;
|
||
}
|
||
case RollPreview:
|
||
{
|
||
x=((i+1)*(ssize_t) thumbnail->columns)/NumberTiles;
|
||
y=((i+1)*(ssize_t) thumbnail->rows)/NumberTiles;
|
||
preview_image=RollImage(thumbnail,x,y,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"roll %+.20gx%+.20g",
|
||
(double) x,(double) y);
|
||
break;
|
||
}
|
||
case HuePreview:
|
||
{
|
||
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
|
||
if (preview_image == (Image *) NULL)
|
||
break;
|
||
(void) FormatLocaleString(factor,MagickPathExtent,"100,100,%g",2.0*
|
||
percentage);
|
||
(void) ModulateImage(preview_image,factor,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"modulate %s",factor);
|
||
break;
|
||
}
|
||
case SaturationPreview:
|
||
{
|
||
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
|
||
if (preview_image == (Image *) NULL)
|
||
break;
|
||
(void) FormatLocaleString(factor,MagickPathExtent,"100,%g",2.0*
|
||
percentage);
|
||
(void) ModulateImage(preview_image,factor,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"modulate %s",factor);
|
||
break;
|
||
}
|
||
case BrightnessPreview:
|
||
{
|
||
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
|
||
if (preview_image == (Image *) NULL)
|
||
break;
|
||
(void) FormatLocaleString(factor,MagickPathExtent,"%g",2.0*percentage);
|
||
(void) ModulateImage(preview_image,factor,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"modulate %s",factor);
|
||
break;
|
||
}
|
||
case GammaPreview:
|
||
default:
|
||
{
|
||
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
|
||
if (preview_image == (Image *) NULL)
|
||
break;
|
||
gamma+=0.4;
|
||
(void) GammaImage(preview_image,gamma,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"gamma %g",gamma);
|
||
break;
|
||
}
|
||
case SpiffPreview:
|
||
{
|
||
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
|
||
if (preview_image != (Image *) NULL)
|
||
for (x=0; x < i; x++)
|
||
(void) ContrastImage(preview_image,MagickTrue,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"contrast (%.20g)",
|
||
(double) i+1);
|
||
break;
|
||
}
|
||
case DullPreview:
|
||
{
|
||
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
|
||
if (preview_image == (Image *) NULL)
|
||
break;
|
||
for (x=0; x < i; x++)
|
||
(void) ContrastImage(preview_image,MagickFalse,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"+contrast (%.20g)",
|
||
(double) i+1);
|
||
break;
|
||
}
|
||
case GrayscalePreview:
|
||
{
|
||
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
|
||
if (preview_image == (Image *) NULL)
|
||
break;
|
||
colors<<=1;
|
||
quantize_info.number_colors=colors;
|
||
quantize_info.colorspace=GRAYColorspace;
|
||
(void) QuantizeImage(&quantize_info,preview_image,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,
|
||
"-colorspace gray -colors %.20g",(double) colors);
|
||
break;
|
||
}
|
||
case QuantizePreview:
|
||
{
|
||
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
|
||
if (preview_image == (Image *) NULL)
|
||
break;
|
||
colors<<=1;
|
||
quantize_info.number_colors=colors;
|
||
(void) QuantizeImage(&quantize_info,preview_image,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"colors %.20g",
|
||
(double) colors);
|
||
break;
|
||
}
|
||
case DespecklePreview:
|
||
{
|
||
for (x=0; x < (i-1); x++)
|
||
{
|
||
preview_image=DespeckleImage(thumbnail,exception);
|
||
if (preview_image == (Image *) NULL)
|
||
break;
|
||
thumbnail=DestroyImage(thumbnail);
|
||
thumbnail=preview_image;
|
||
}
|
||
preview_image=DespeckleImage(thumbnail,exception);
|
||
if (preview_image == (Image *) NULL)
|
||
break;
|
||
(void) FormatLocaleString(label,MagickPathExtent,"despeckle (%.20g)",
|
||
(double) i+1);
|
||
break;
|
||
}
|
||
case ReduceNoisePreview:
|
||
{
|
||
preview_image=StatisticImage(thumbnail,NonpeakStatistic,(size_t)
|
||
radius,(size_t) radius,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"noise %g",radius);
|
||
break;
|
||
}
|
||
case AddNoisePreview:
|
||
{
|
||
switch ((int) i)
|
||
{
|
||
case 0:
|
||
{
|
||
(void) CopyMagickString(factor,"uniform",MagickPathExtent);
|
||
break;
|
||
}
|
||
case 1:
|
||
{
|
||
(void) CopyMagickString(factor,"gaussian",MagickPathExtent);
|
||
break;
|
||
}
|
||
case 2:
|
||
{
|
||
(void) CopyMagickString(factor,"multiplicative",MagickPathExtent);
|
||
break;
|
||
}
|
||
case 3:
|
||
{
|
||
(void) CopyMagickString(factor,"impulse",MagickPathExtent);
|
||
break;
|
||
}
|
||
case 5:
|
||
{
|
||
(void) CopyMagickString(factor,"laplacian",MagickPathExtent);
|
||
break;
|
||
}
|
||
case 6:
|
||
{
|
||
(void) CopyMagickString(factor,"Poisson",MagickPathExtent);
|
||
break;
|
||
}
|
||
default:
|
||
{
|
||
(void) CopyMagickString(thumbnail->magick,"NULL",MagickPathExtent);
|
||
break;
|
||
}
|
||
}
|
||
preview_image=StatisticImage(thumbnail,NonpeakStatistic,(size_t) i,
|
||
(size_t) i,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"+noise %s",factor);
|
||
break;
|
||
}
|
||
case SharpenPreview:
|
||
{
|
||
preview_image=SharpenImage(thumbnail,radius,sigma,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"sharpen %gx%g",
|
||
radius,sigma);
|
||
break;
|
||
}
|
||
case BlurPreview:
|
||
{
|
||
preview_image=BlurImage(thumbnail,radius,sigma,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"blur %gx%g",radius,
|
||
sigma);
|
||
break;
|
||
}
|
||
case ThresholdPreview:
|
||
{
|
||
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
|
||
if (preview_image == (Image *) NULL)
|
||
break;
|
||
(void) BilevelImage(thumbnail,(double) (percentage*((double)
|
||
QuantumRange+1.0))/100.0,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"threshold %g",
|
||
(double) (percentage*((double) QuantumRange+1.0))/100.0);
|
||
break;
|
||
}
|
||
case EdgeDetectPreview:
|
||
{
|
||
preview_image=EdgeImage(thumbnail,radius,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"edge %g",radius);
|
||
break;
|
||
}
|
||
case SpreadPreview:
|
||
{
|
||
preview_image=SpreadImage(thumbnail,image->interpolate,radius,
|
||
exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"spread %g",
|
||
radius+0.5);
|
||
break;
|
||
}
|
||
case SolarizePreview:
|
||
{
|
||
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
|
||
if (preview_image == (Image *) NULL)
|
||
break;
|
||
(void) SolarizeImage(preview_image,(double) QuantumRange*percentage/
|
||
100.0,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"solarize %g",
|
||
((double) QuantumRange*percentage)/100.0);
|
||
break;
|
||
}
|
||
case ShadePreview:
|
||
{
|
||
degrees+=10.0;
|
||
preview_image=ShadeImage(thumbnail,MagickTrue,degrees,degrees,
|
||
exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"shade %gx%g",degrees,
|
||
degrees);
|
||
break;
|
||
}
|
||
case RaisePreview:
|
||
{
|
||
RectangleInfo
|
||
raise;
|
||
|
||
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
|
||
if (preview_image == (Image *) NULL)
|
||
break;
|
||
raise.width=(size_t) (2*i+2);
|
||
raise.height=(size_t) (2*i+2);
|
||
raise.x=(i-1)/2;
|
||
raise.y=(i-1)/2;
|
||
(void) RaiseImage(preview_image,&raise,MagickTrue,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,
|
||
"raise %.20gx%.20g%+.20g%+.20g",(double) raise.width,(double)
|
||
raise.height,(double) raise.x,(double) raise.y);
|
||
break;
|
||
}
|
||
case SegmentPreview:
|
||
{
|
||
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
|
||
if (preview_image == (Image *) NULL)
|
||
break;
|
||
threshold+=0.4;
|
||
(void) SegmentImage(preview_image,sRGBColorspace,MagickFalse,threshold,
|
||
threshold,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"segment %gx%g",
|
||
threshold,threshold);
|
||
break;
|
||
}
|
||
case SwirlPreview:
|
||
{
|
||
preview_image=SwirlImage(thumbnail,degrees,image->interpolate,
|
||
exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"swirl %g",degrees);
|
||
degrees+=45.0;
|
||
break;
|
||
}
|
||
case ImplodePreview:
|
||
{
|
||
degrees+=0.1;
|
||
preview_image=ImplodeImage(thumbnail,degrees,image->interpolate,
|
||
exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"implode %g",degrees);
|
||
break;
|
||
}
|
||
case WavePreview:
|
||
{
|
||
degrees+=5.0;
|
||
preview_image=WaveImage(thumbnail,0.5*degrees,2.0*degrees,
|
||
image->interpolate,exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"wave %gx%g",0.5*
|
||
degrees,2.0*degrees);
|
||
break;
|
||
}
|
||
case OilPaintPreview:
|
||
{
|
||
preview_image=OilPaintImage(thumbnail,(double) radius,(double) sigma,
|
||
exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"charcoal %gx%g",
|
||
radius,sigma);
|
||
break;
|
||
}
|
||
case CharcoalDrawingPreview:
|
||
{
|
||
preview_image=CharcoalImage(thumbnail,(double) radius,(double) sigma,
|
||
exception);
|
||
(void) FormatLocaleString(label,MagickPathExtent,"charcoal %gx%g",
|
||
radius,sigma);
|
||
break;
|
||
}
|
||
case JPEGPreview:
|
||
{
|
||
char
|
||
filename[MagickPathExtent];
|
||
|
||
int
|
||
file;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
preview_image=CloneImage(thumbnail,0,0,MagickTrue,exception);
|
||
if (preview_image == (Image *) NULL)
|
||
break;
|
||
preview_info->quality=(size_t) percentage;
|
||
(void) FormatLocaleString(factor,MagickPathExtent,"%.20g",(double)
|
||
preview_info->quality);
|
||
file=AcquireUniqueFileResource(filename);
|
||
if (file != -1)
|
||
file=close(file)-1;
|
||
(void) FormatLocaleString(preview_image->filename,MagickPathExtent,
|
||
"jpeg:%s",filename);
|
||
status=WriteImage(preview_info,preview_image,exception);
|
||
if (status != MagickFalse)
|
||
{
|
||
Image
|
||
*quality_image;
|
||
|
||
(void) CopyMagickString(preview_info->filename,
|
||
preview_image->filename,MagickPathExtent);
|
||
quality_image=ReadImage(preview_info,exception);
|
||
if (quality_image != (Image *) NULL)
|
||
{
|
||
preview_image=DestroyImage(preview_image);
|
||
preview_image=quality_image;
|
||
}
|
||
}
|
||
(void) RelinquishUniqueFileResource(preview_image->filename);
|
||
if ((GetBlobSize(preview_image)/1024) >= 1024)
|
||
(void) FormatLocaleString(label,MagickPathExtent,"quality %s\n%gmb ",
|
||
factor,(double) ((MagickOffsetType) GetBlobSize(preview_image))/
|
||
1024.0/1024.0);
|
||
else
|
||
if (GetBlobSize(preview_image) >= 1024)
|
||
(void) FormatLocaleString(label,MagickPathExtent,
|
||
"quality %s\n%gkb ",factor,(double) ((MagickOffsetType)
|
||
GetBlobSize(preview_image))/1024.0);
|
||
else
|
||
(void) FormatLocaleString(label,MagickPathExtent,
|
||
"quality %s\n%.20gb ",factor,(double) ((MagickOffsetType)
|
||
GetBlobSize(thumbnail)));
|
||
break;
|
||
}
|
||
}
|
||
thumbnail=DestroyImage(thumbnail);
|
||
percentage+=12.5;
|
||
radius+=0.5;
|
||
sigma+=0.25;
|
||
if (preview_image == (Image *) NULL)
|
||
break;
|
||
preview_image->alpha_trait=UndefinedPixelTrait;
|
||
(void) DeleteImageProperty(preview_image,"label");
|
||
(void) SetImageProperty(preview_image,"label",label,exception);
|
||
AppendImageToList(&images,preview_image);
|
||
proceed=SetImageProgress(image,PreviewImageTag,(MagickOffsetType) i,
|
||
NumberTiles);
|
||
if (proceed == MagickFalse)
|
||
break;
|
||
}
|
||
if (images == (Image *) NULL)
|
||
{
|
||
preview_info=DestroyImageInfo(preview_info);
|
||
return((Image *) NULL);
|
||
}
|
||
/*
|
||
Create the montage.
|
||
*/
|
||
montage_info=CloneMontageInfo(preview_info,(MontageInfo *) NULL);
|
||
(void) CopyMagickString(montage_info->filename,image->filename,
|
||
MagickPathExtent);
|
||
montage_info->shadow=MagickTrue;
|
||
(void) CloneString(&montage_info->tile,"3x3");
|
||
(void) CloneString(&montage_info->geometry,DefaultPreviewGeometry);
|
||
(void) CloneString(&montage_info->frame,DefaultTileFrame);
|
||
montage_image=MontageImages(images,montage_info,exception);
|
||
montage_info=DestroyMontageInfo(montage_info);
|
||
images=DestroyImageList(images);
|
||
if (montage_image == (Image *) NULL)
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
if (montage_image->montage != (char *) NULL)
|
||
{
|
||
/*
|
||
Free image directory.
|
||
*/
|
||
montage_image->montage=(char *) RelinquishMagickMemory(
|
||
montage_image->montage);
|
||
if (image->directory != (char *) NULL)
|
||
montage_image->directory=(char *) RelinquishMagickMemory(
|
||
montage_image->directory);
|
||
}
|
||
preview_info=DestroyImageInfo(preview_info);
|
||
return(montage_image);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% R o t a t i o n a l B l u r I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% RotationalBlurImage() applies a radial blur to the image.
|
||
%
|
||
% Andrew Protano contributed this effect.
|
||
%
|
||
% The format of the RotationalBlurImage method is:
|
||
%
|
||
% Image *RotationalBlurImage(const Image *image,const double angle,
|
||
% ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o angle: the angle of the radial blur.
|
||
%
|
||
% o blur: the blur.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport Image *RotationalBlurImage(const Image *image,const double angle,
|
||
ExceptionInfo *exception)
|
||
{
|
||
CacheView
|
||
*blur_view,
|
||
*image_view,
|
||
*radial_view;
|
||
|
||
double
|
||
blur_radius,
|
||
*cos_theta,
|
||
offset,
|
||
*sin_theta,
|
||
theta;
|
||
|
||
Image
|
||
*blur_image;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
MagickOffsetType
|
||
progress;
|
||
|
||
PointInfo
|
||
blur_center;
|
||
|
||
size_t
|
||
n;
|
||
|
||
ssize_t
|
||
w,
|
||
y;
|
||
|
||
/*
|
||
Allocate blur image.
|
||
*/
|
||
assert(image != (Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
#if defined(MAGICKCORE_OPENCL_SUPPORT)
|
||
blur_image=AccelerateRotationalBlurImage(image,angle,exception);
|
||
if (blur_image != (Image *) NULL)
|
||
return(blur_image);
|
||
#endif
|
||
blur_image=CloneImage(image,0,0,MagickTrue,exception);
|
||
if (blur_image == (Image *) NULL)
|
||
return((Image *) NULL);
|
||
if (SetImageStorageClass(blur_image,DirectClass,exception) == MagickFalse)
|
||
{
|
||
blur_image=DestroyImage(blur_image);
|
||
return((Image *) NULL);
|
||
}
|
||
blur_center.x=(double) (image->columns-1)/2.0;
|
||
blur_center.y=(double) (image->rows-1)/2.0;
|
||
blur_radius=hypot(blur_center.x,blur_center.y);
|
||
n=(size_t) fabs(4.0*DegreesToRadians(angle)*sqrt((double) blur_radius)+2UL);
|
||
theta=DegreesToRadians(angle)/(double) (n-1);
|
||
cos_theta=(double *) AcquireQuantumMemory((size_t) n,sizeof(*cos_theta));
|
||
sin_theta=(double *) AcquireQuantumMemory((size_t) n,sizeof(*sin_theta));
|
||
if ((cos_theta == (double *) NULL) || (sin_theta == (double *) NULL))
|
||
{
|
||
if (cos_theta != (double *) NULL)
|
||
cos_theta=(double *) RelinquishMagickMemory(cos_theta);
|
||
if (sin_theta != (double *) NULL)
|
||
sin_theta=(double *) RelinquishMagickMemory(sin_theta);
|
||
blur_image=DestroyImage(blur_image);
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
}
|
||
offset=theta*(double) (n-1)/2.0;
|
||
for (w=0; w < (ssize_t) n; w++)
|
||
{
|
||
cos_theta[w]=cos((double) (theta*w-offset));
|
||
sin_theta[w]=sin((double) (theta*w-offset));
|
||
}
|
||
/*
|
||
Radial blur image.
|
||
*/
|
||
status=MagickTrue;
|
||
progress=0;
|
||
image_view=AcquireVirtualCacheView(image,exception);
|
||
radial_view=AcquireVirtualCacheView(image,exception);
|
||
blur_view=AcquireAuthenticCacheView(blur_image,exception);
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(static) shared(progress,status) \
|
||
magick_number_threads(image,blur_image,image->rows,1)
|
||
#endif
|
||
for (y=0; y < (ssize_t) image->rows; y++)
|
||
{
|
||
const Quantum
|
||
*magick_restrict p;
|
||
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
|
||
q=QueueCacheViewAuthenticPixels(blur_view,0,y,blur_image->columns,1,
|
||
exception);
|
||
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
for (x=0; x < (ssize_t) image->columns; x++)
|
||
{
|
||
double
|
||
radius;
|
||
|
||
PointInfo
|
||
center;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
step;
|
||
|
||
center.x=(double) x-blur_center.x;
|
||
center.y=(double) y-blur_center.y;
|
||
radius=hypot((double) center.x,center.y);
|
||
if (radius == 0)
|
||
step=1;
|
||
else
|
||
{
|
||
step=(size_t) (blur_radius/radius);
|
||
if (step == 0)
|
||
step=1;
|
||
else
|
||
if (step >= n)
|
||
step=n-1;
|
||
}
|
||
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
|
||
{
|
||
double
|
||
gamma,
|
||
pixel;
|
||
|
||
PixelChannel
|
||
channel;
|
||
|
||
PixelTrait
|
||
blur_traits,
|
||
traits;
|
||
|
||
const Quantum
|
||
*magick_restrict r;
|
||
|
||
ssize_t
|
||
j;
|
||
|
||
channel=GetPixelChannelChannel(image,i);
|
||
traits=GetPixelChannelTraits(image,channel);
|
||
blur_traits=GetPixelChannelTraits(blur_image,channel);
|
||
if ((traits == UndefinedPixelTrait) ||
|
||
(blur_traits == UndefinedPixelTrait))
|
||
continue;
|
||
if ((blur_traits & CopyPixelTrait) != 0)
|
||
{
|
||
SetPixelChannel(blur_image,channel,p[i],q);
|
||
continue;
|
||
}
|
||
gamma=0.0;
|
||
pixel=0.0;
|
||
if ((GetPixelChannelTraits(image,AlphaPixelChannel) == UndefinedPixelTrait) ||
|
||
(channel == AlphaPixelChannel))
|
||
{
|
||
for (j=0; j < (ssize_t) n; j+=(ssize_t) step)
|
||
{
|
||
r=GetCacheViewVirtualPixels(radial_view, (ssize_t) (blur_center.x+
|
||
center.x*cos_theta[j]-center.y*sin_theta[j]+0.5),(ssize_t)
|
||
(blur_center.y+center.x*sin_theta[j]+center.y*cos_theta[j]+0.5),
|
||
1,1,exception);
|
||
if (r == (const Quantum *) NULL)
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
pixel+=(double) r[i];
|
||
gamma++;
|
||
}
|
||
gamma=PerceptibleReciprocal(gamma);
|
||
SetPixelChannel(blur_image,channel,ClampToQuantum(gamma*pixel),q);
|
||
continue;
|
||
}
|
||
for (j=0; j < (ssize_t) n; j+=(ssize_t) step)
|
||
{
|
||
double
|
||
alpha;
|
||
|
||
r=GetCacheViewVirtualPixels(radial_view, (ssize_t) (blur_center.x+
|
||
center.x*cos_theta[j]-center.y*sin_theta[j]+0.5),(ssize_t)
|
||
(blur_center.y+center.x*sin_theta[j]+center.y*cos_theta[j]+0.5),
|
||
1,1,exception);
|
||
if (r == (const Quantum *) NULL)
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
alpha=QuantumScale*(double) GetPixelAlpha(image,r);
|
||
pixel+=alpha*(double) r[i];
|
||
gamma+=alpha;
|
||
}
|
||
gamma=PerceptibleReciprocal(gamma);
|
||
SetPixelChannel(blur_image,channel,ClampToQuantum(gamma*pixel),q);
|
||
}
|
||
p+=GetPixelChannels(image);
|
||
q+=GetPixelChannels(blur_image);
|
||
}
|
||
if (SyncCacheViewAuthenticPixels(blur_view,exception) == MagickFalse)
|
||
status=MagickFalse;
|
||
if (image->progress_monitor != (MagickProgressMonitor) NULL)
|
||
{
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp atomic
|
||
#endif
|
||
progress++;
|
||
proceed=SetImageProgress(image,BlurImageTag,progress,image->rows);
|
||
if (proceed == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
}
|
||
blur_view=DestroyCacheView(blur_view);
|
||
radial_view=DestroyCacheView(radial_view);
|
||
image_view=DestroyCacheView(image_view);
|
||
cos_theta=(double *) RelinquishMagickMemory(cos_theta);
|
||
sin_theta=(double *) RelinquishMagickMemory(sin_theta);
|
||
if (status == MagickFalse)
|
||
blur_image=DestroyImage(blur_image);
|
||
return(blur_image);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% S e l e c t i v e B l u r I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% SelectiveBlurImage() selectively blur pixels within a contrast threshold.
|
||
% It is similar to the unsharpen mask that sharpens everything with contrast
|
||
% above a certain threshold.
|
||
%
|
||
% The format of the SelectiveBlurImage method is:
|
||
%
|
||
% Image *SelectiveBlurImage(const Image *image,const double radius,
|
||
% const double sigma,const double threshold,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o radius: the radius of the Gaussian, in pixels, not counting the center
|
||
% pixel.
|
||
%
|
||
% o sigma: the standard deviation of the Gaussian, in pixels.
|
||
%
|
||
% o threshold: only pixels within this contrast threshold are included
|
||
% in the blur operation.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport Image *SelectiveBlurImage(const Image *image,const double radius,
|
||
const double sigma,const double threshold,ExceptionInfo *exception)
|
||
{
|
||
#define SelectiveBlurImageTag "SelectiveBlur/Image"
|
||
|
||
CacheView
|
||
*blur_view,
|
||
*image_view,
|
||
*luminance_view;
|
||
|
||
Image
|
||
*blur_image,
|
||
*luminance_image;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
MagickOffsetType
|
||
progress;
|
||
|
||
MagickRealType
|
||
*kernel;
|
||
|
||
size_t
|
||
width;
|
||
|
||
ssize_t
|
||
center,
|
||
y;
|
||
|
||
/*
|
||
Initialize blur image attributes.
|
||
*/
|
||
assert(image != (Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
width=GetOptimalKernelWidth1D(radius,sigma);
|
||
kernel=(MagickRealType *) MagickAssumeAligned(AcquireAlignedMemory((size_t)
|
||
width,width*sizeof(*kernel)));
|
||
if (kernel == (MagickRealType *) NULL)
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
{
|
||
ssize_t
|
||
i,
|
||
j,
|
||
v;
|
||
|
||
j=(ssize_t) (width-1)/2;
|
||
i=0;
|
||
for (v=(-j); v <= j; v++)
|
||
{
|
||
ssize_t
|
||
u;
|
||
|
||
for (u=(-j); u <= j; u++)
|
||
kernel[i++]=(MagickRealType) (exp(-((double) u*u+v*v)/(2.0*MagickSigma*
|
||
MagickSigma))/(2.0*MagickPI*MagickSigma*MagickSigma));
|
||
}
|
||
}
|
||
if (image->debug != MagickFalse)
|
||
{
|
||
char
|
||
format[MagickPathExtent],
|
||
*message;
|
||
|
||
const MagickRealType
|
||
*k;
|
||
|
||
ssize_t
|
||
u,
|
||
v;
|
||
|
||
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
|
||
" SelectiveBlurImage with %.20gx%.20g kernel:",(double) width,(double)
|
||
width);
|
||
message=AcquireString("");
|
||
k=kernel;
|
||
for (v=0; v < (ssize_t) width; v++)
|
||
{
|
||
*message='\0';
|
||
(void) FormatLocaleString(format,MagickPathExtent,"%.20g: ",(double) v);
|
||
(void) ConcatenateString(&message,format);
|
||
for (u=0; u < (ssize_t) width; u++)
|
||
{
|
||
(void) FormatLocaleString(format,MagickPathExtent,"%+f ",(double)
|
||
*k++);
|
||
(void) ConcatenateString(&message,format);
|
||
}
|
||
(void) LogMagickEvent(TransformEvent,GetMagickModule(),"%s",message);
|
||
}
|
||
message=DestroyString(message);
|
||
}
|
||
blur_image=CloneImage(image,0,0,MagickTrue,exception);
|
||
if (blur_image == (Image *) NULL)
|
||
return((Image *) NULL);
|
||
if (SetImageStorageClass(blur_image,DirectClass,exception) == MagickFalse)
|
||
{
|
||
blur_image=DestroyImage(blur_image);
|
||
kernel=(MagickRealType *) RelinquishAlignedMemory(kernel);
|
||
return((Image *) NULL);
|
||
}
|
||
luminance_image=CloneImage(image,0,0,MagickTrue,exception);
|
||
if (luminance_image == (Image *) NULL)
|
||
{
|
||
blur_image=DestroyImage(blur_image);
|
||
kernel=(MagickRealType *) RelinquishAlignedMemory(kernel);
|
||
return((Image *) NULL);
|
||
}
|
||
status=TransformImageColorspace(luminance_image,GRAYColorspace,exception);
|
||
if (status == MagickFalse)
|
||
{
|
||
luminance_image=DestroyImage(luminance_image);
|
||
blur_image=DestroyImage(blur_image);
|
||
kernel=(MagickRealType *) RelinquishAlignedMemory(kernel);
|
||
return((Image *) NULL);
|
||
}
|
||
/*
|
||
Threshold blur image.
|
||
*/
|
||
status=MagickTrue;
|
||
progress=0;
|
||
center=(ssize_t) (GetPixelChannels(image)*(image->columns+width)*
|
||
((width-1)/2L)+GetPixelChannels(image)*((width-1)/2L));
|
||
image_view=AcquireVirtualCacheView(image,exception);
|
||
luminance_view=AcquireVirtualCacheView(luminance_image,exception);
|
||
blur_view=AcquireAuthenticCacheView(blur_image,exception);
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(static) shared(progress,status) \
|
||
magick_number_threads(image,blur_image,image->rows,1)
|
||
#endif
|
||
for (y=0; y < (ssize_t) image->rows; y++)
|
||
{
|
||
double
|
||
contrast;
|
||
|
||
MagickBooleanType
|
||
sync;
|
||
|
||
const Quantum
|
||
*magick_restrict l,
|
||
*magick_restrict p;
|
||
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
p=GetCacheViewVirtualPixels(image_view,-((ssize_t) (width-1)/2L),y-(ssize_t)
|
||
((width-1)/2L),image->columns+width,width,exception);
|
||
l=GetCacheViewVirtualPixels(luminance_view,-((ssize_t) (width-1)/2L),y-
|
||
(ssize_t) ((width-1)/2L),luminance_image->columns+width,width,exception);
|
||
q=QueueCacheViewAuthenticPixels(blur_view,0,y,blur_image->columns,1,
|
||
exception);
|
||
if ((p == (const Quantum *) NULL) || (l == (const Quantum *) NULL) ||
|
||
(q == (Quantum *) NULL))
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
for (x=0; x < (ssize_t) image->columns; x++)
|
||
{
|
||
double
|
||
intensity;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
intensity=GetPixelIntensity(image,p+center);
|
||
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
|
||
{
|
||
double
|
||
alpha,
|
||
gamma,
|
||
pixel;
|
||
|
||
PixelChannel
|
||
channel;
|
||
|
||
PixelTrait
|
||
blur_traits,
|
||
traits;
|
||
|
||
const MagickRealType
|
||
*magick_restrict k;
|
||
|
||
const Quantum
|
||
*magick_restrict luminance_pixels,
|
||
*magick_restrict pixels;
|
||
|
||
ssize_t
|
||
u;
|
||
|
||
ssize_t
|
||
v;
|
||
|
||
channel=GetPixelChannelChannel(image,i);
|
||
traits=GetPixelChannelTraits(image,channel);
|
||
blur_traits=GetPixelChannelTraits(blur_image,channel);
|
||
if ((traits == UndefinedPixelTrait) ||
|
||
(blur_traits == UndefinedPixelTrait))
|
||
continue;
|
||
if ((blur_traits & CopyPixelTrait) != 0)
|
||
{
|
||
SetPixelChannel(blur_image,channel,p[center+i],q);
|
||
continue;
|
||
}
|
||
k=kernel;
|
||
pixel=0.0;
|
||
pixels=p;
|
||
luminance_pixels=l;
|
||
gamma=0.0;
|
||
if ((blur_traits & BlendPixelTrait) == 0)
|
||
{
|
||
for (v=0; v < (ssize_t) width; v++)
|
||
{
|
||
for (u=0; u < (ssize_t) width; u++)
|
||
{
|
||
contrast=GetPixelIntensity(luminance_image,luminance_pixels)-
|
||
intensity;
|
||
if (fabs(contrast) < threshold)
|
||
{
|
||
pixel+=(*k)*(double) pixels[i];
|
||
gamma+=(*k);
|
||
}
|
||
k++;
|
||
pixels+=GetPixelChannels(image);
|
||
luminance_pixels+=GetPixelChannels(luminance_image);
|
||
}
|
||
pixels+=GetPixelChannels(image)*image->columns;
|
||
luminance_pixels+=GetPixelChannels(luminance_image)*
|
||
luminance_image->columns;
|
||
}
|
||
if (fabs((double) gamma) < MagickEpsilon)
|
||
{
|
||
SetPixelChannel(blur_image,channel,p[center+i],q);
|
||
continue;
|
||
}
|
||
gamma=PerceptibleReciprocal(gamma);
|
||
SetPixelChannel(blur_image,channel,ClampToQuantum(gamma*pixel),q);
|
||
continue;
|
||
}
|
||
for (v=0; v < (ssize_t) width; v++)
|
||
{
|
||
for (u=0; u < (ssize_t) width; u++)
|
||
{
|
||
contrast=GetPixelIntensity(image,pixels)-intensity;
|
||
if (fabs(contrast) < threshold)
|
||
{
|
||
alpha=QuantumScale*(double) GetPixelAlpha(image,pixels);
|
||
pixel+=(*k)*alpha*(double) pixels[i];
|
||
gamma+=(*k)*alpha;
|
||
}
|
||
k++;
|
||
pixels+=GetPixelChannels(image);
|
||
luminance_pixels+=GetPixelChannels(luminance_image);
|
||
}
|
||
pixels+=GetPixelChannels(image)*image->columns;
|
||
luminance_pixels+=GetPixelChannels(luminance_image)*
|
||
luminance_image->columns;
|
||
}
|
||
if (fabs((double) gamma) < MagickEpsilon)
|
||
{
|
||
SetPixelChannel(blur_image,channel,p[center+i],q);
|
||
continue;
|
||
}
|
||
gamma=PerceptibleReciprocal(gamma);
|
||
SetPixelChannel(blur_image,channel,ClampToQuantum(gamma*pixel),q);
|
||
}
|
||
p+=GetPixelChannels(image);
|
||
l+=GetPixelChannels(luminance_image);
|
||
q+=GetPixelChannels(blur_image);
|
||
}
|
||
sync=SyncCacheViewAuthenticPixels(blur_view,exception);
|
||
if (sync == MagickFalse)
|
||
status=MagickFalse;
|
||
if (image->progress_monitor != (MagickProgressMonitor) NULL)
|
||
{
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp atomic
|
||
#endif
|
||
progress++;
|
||
proceed=SetImageProgress(image,SelectiveBlurImageTag,progress,
|
||
image->rows);
|
||
if (proceed == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
}
|
||
blur_image->type=image->type;
|
||
blur_view=DestroyCacheView(blur_view);
|
||
luminance_view=DestroyCacheView(luminance_view);
|
||
image_view=DestroyCacheView(image_view);
|
||
luminance_image=DestroyImage(luminance_image);
|
||
kernel=(MagickRealType *) RelinquishAlignedMemory(kernel);
|
||
if (status == MagickFalse)
|
||
blur_image=DestroyImage(blur_image);
|
||
return(blur_image);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% S h a d e I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% ShadeImage() shines a distant light on an image to create a
|
||
% three-dimensional effect. You control the positioning of the light with
|
||
% azimuth and elevation; azimuth is measured in degrees off the x axis
|
||
% and elevation is measured in pixels above the Z axis.
|
||
%
|
||
% The format of the ShadeImage method is:
|
||
%
|
||
% Image *ShadeImage(const Image *image,const MagickBooleanType gray,
|
||
% const double azimuth,const double elevation,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o gray: A value other than zero shades the intensity of each pixel.
|
||
%
|
||
% o azimuth, elevation: Define the light source direction.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport Image *ShadeImage(const Image *image,const MagickBooleanType gray,
|
||
const double azimuth,const double elevation,ExceptionInfo *exception)
|
||
{
|
||
#define GetShadeIntensity(image,pixel) \
|
||
ClampPixel(GetPixelIntensity((image),(pixel)))
|
||
#define ShadeImageTag "Shade/Image"
|
||
|
||
CacheView
|
||
*image_view,
|
||
*shade_view;
|
||
|
||
Image
|
||
*linear_image,
|
||
*shade_image;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
MagickOffsetType
|
||
progress;
|
||
|
||
PrimaryInfo
|
||
light;
|
||
|
||
ssize_t
|
||
y;
|
||
|
||
/*
|
||
Initialize shaded image attributes.
|
||
*/
|
||
assert(image != (const Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
linear_image=CloneImage(image,0,0,MagickTrue,exception);
|
||
shade_image=CloneImage(image,0,0,MagickTrue,exception);
|
||
if ((linear_image == (Image *) NULL) || (shade_image == (Image *) NULL))
|
||
{
|
||
if (linear_image != (Image *) NULL)
|
||
linear_image=DestroyImage(linear_image);
|
||
if (shade_image != (Image *) NULL)
|
||
shade_image=DestroyImage(shade_image);
|
||
return((Image *) NULL);
|
||
}
|
||
if (SetImageStorageClass(shade_image,DirectClass,exception) == MagickFalse)
|
||
{
|
||
linear_image=DestroyImage(linear_image);
|
||
shade_image=DestroyImage(shade_image);
|
||
return((Image *) NULL);
|
||
}
|
||
/*
|
||
Compute the light vector.
|
||
*/
|
||
light.x=(double) QuantumRange*cos(DegreesToRadians(azimuth))*
|
||
cos(DegreesToRadians(elevation));
|
||
light.y=(double) QuantumRange*sin(DegreesToRadians(azimuth))*
|
||
cos(DegreesToRadians(elevation));
|
||
light.z=(double) QuantumRange*sin(DegreesToRadians(elevation));
|
||
/*
|
||
Shade image.
|
||
*/
|
||
status=MagickTrue;
|
||
progress=0;
|
||
image_view=AcquireVirtualCacheView(linear_image,exception);
|
||
shade_view=AcquireAuthenticCacheView(shade_image,exception);
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(static) shared(progress,status) \
|
||
magick_number_threads(linear_image,shade_image,linear_image->rows,1)
|
||
#endif
|
||
for (y=0; y < (ssize_t) linear_image->rows; y++)
|
||
{
|
||
double
|
||
distance,
|
||
normal_distance,
|
||
shade;
|
||
|
||
PrimaryInfo
|
||
normal;
|
||
|
||
const Quantum
|
||
*magick_restrict center,
|
||
*magick_restrict p,
|
||
*magick_restrict post,
|
||
*magick_restrict pre;
|
||
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
p=GetCacheViewVirtualPixels(image_view,-1,y-1,linear_image->columns+2,3,
|
||
exception);
|
||
q=QueueCacheViewAuthenticPixels(shade_view,0,y,shade_image->columns,1,
|
||
exception);
|
||
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
/*
|
||
Shade this row of pixels.
|
||
*/
|
||
normal.z=2.0*(double) QuantumRange; /* constant Z of surface normal */
|
||
for (x=0; x < (ssize_t) linear_image->columns; x++)
|
||
{
|
||
ssize_t
|
||
i;
|
||
|
||
/*
|
||
Determine the surface normal and compute shading.
|
||
*/
|
||
pre=p+GetPixelChannels(linear_image);
|
||
center=pre+(linear_image->columns+2)*GetPixelChannels(linear_image);
|
||
post=center+(linear_image->columns+2)*GetPixelChannels(linear_image);
|
||
normal.x=(double) (
|
||
GetShadeIntensity(linear_image,pre-GetPixelChannels(linear_image))+
|
||
GetShadeIntensity(linear_image,center-GetPixelChannels(linear_image))+
|
||
GetShadeIntensity(linear_image,post-GetPixelChannels(linear_image))-
|
||
GetShadeIntensity(linear_image,pre+GetPixelChannels(linear_image))-
|
||
GetShadeIntensity(linear_image,center+GetPixelChannels(linear_image))-
|
||
GetShadeIntensity(linear_image,post+GetPixelChannels(linear_image)));
|
||
normal.y=(double) (
|
||
GetShadeIntensity(linear_image,post-GetPixelChannels(linear_image))+
|
||
GetShadeIntensity(linear_image,post)+
|
||
GetShadeIntensity(linear_image,post+GetPixelChannels(linear_image))-
|
||
GetShadeIntensity(linear_image,pre-GetPixelChannels(linear_image))-
|
||
GetShadeIntensity(linear_image,pre)-
|
||
GetShadeIntensity(linear_image,pre+GetPixelChannels(linear_image)));
|
||
if ((fabs(normal.x) <= MagickEpsilon) &&
|
||
(fabs(normal.y) <= MagickEpsilon))
|
||
shade=light.z;
|
||
else
|
||
{
|
||
shade=0.0;
|
||
distance=normal.x*light.x+normal.y*light.y+normal.z*light.z;
|
||
if (distance > MagickEpsilon)
|
||
{
|
||
normal_distance=normal.x*normal.x+normal.y*normal.y+
|
||
normal.z*normal.z;
|
||
if (normal_distance > (MagickEpsilon*MagickEpsilon))
|
||
shade=distance/sqrt((double) normal_distance);
|
||
}
|
||
}
|
||
for (i=0; i < (ssize_t) GetPixelChannels(linear_image); i++)
|
||
{
|
||
PixelChannel
|
||
channel;
|
||
|
||
PixelTrait
|
||
shade_traits,
|
||
traits;
|
||
|
||
channel=GetPixelChannelChannel(linear_image,i);
|
||
traits=GetPixelChannelTraits(linear_image,channel);
|
||
shade_traits=GetPixelChannelTraits(shade_image,channel);
|
||
if ((traits == UndefinedPixelTrait) ||
|
||
(shade_traits == UndefinedPixelTrait))
|
||
continue;
|
||
if ((shade_traits & CopyPixelTrait) != 0)
|
||
{
|
||
SetPixelChannel(shade_image,channel,center[i],q);
|
||
continue;
|
||
}
|
||
if ((traits & UpdatePixelTrait) == 0)
|
||
{
|
||
SetPixelChannel(shade_image,channel,center[i],q);
|
||
continue;
|
||
}
|
||
if (gray != MagickFalse)
|
||
{
|
||
SetPixelChannel(shade_image,channel,ClampToQuantum(shade),q);
|
||
continue;
|
||
}
|
||
SetPixelChannel(shade_image,channel,ClampToQuantum(QuantumScale*
|
||
shade*(double) center[i]),q);
|
||
}
|
||
p+=GetPixelChannels(linear_image);
|
||
q+=GetPixelChannels(shade_image);
|
||
}
|
||
if (SyncCacheViewAuthenticPixels(shade_view,exception) == MagickFalse)
|
||
status=MagickFalse;
|
||
if (image->progress_monitor != (MagickProgressMonitor) NULL)
|
||
{
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp atomic
|
||
#endif
|
||
progress++;
|
||
proceed=SetImageProgress(image,ShadeImageTag,progress,image->rows);
|
||
if (proceed == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
}
|
||
shade_view=DestroyCacheView(shade_view);
|
||
image_view=DestroyCacheView(image_view);
|
||
linear_image=DestroyImage(linear_image);
|
||
if (status == MagickFalse)
|
||
shade_image=DestroyImage(shade_image);
|
||
return(shade_image);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% S h a r p e n I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% SharpenImage() sharpens the image. We convolve the image with a Gaussian
|
||
% operator of the given radius and standard deviation (sigma). For
|
||
% reasonable results, radius should be larger than sigma. Use a radius of 0
|
||
% and SharpenImage() selects a suitable radius for you.
|
||
%
|
||
% Using a separable kernel would be faster, but the negative weights cancel
|
||
% out on the corners of the kernel producing often undesirable ringing in the
|
||
% filtered result; this can be avoided by using a 2D gaussian shaped image
|
||
% sharpening kernel instead.
|
||
%
|
||
% The format of the SharpenImage method is:
|
||
%
|
||
% Image *SharpenImage(const Image *image,const double radius,
|
||
% const double sigma,ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o radius: the radius of the Gaussian, in pixels, not counting the center
|
||
% pixel.
|
||
%
|
||
% o sigma: the standard deviation of the Laplacian, in pixels.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport Image *SharpenImage(const Image *image,const double radius,
|
||
const double sigma,ExceptionInfo *exception)
|
||
{
|
||
double
|
||
gamma,
|
||
normalize;
|
||
|
||
Image
|
||
*sharp_image;
|
||
|
||
KernelInfo
|
||
*kernel_info;
|
||
|
||
ssize_t
|
||
i;
|
||
|
||
size_t
|
||
width;
|
||
|
||
ssize_t
|
||
j,
|
||
u,
|
||
v;
|
||
|
||
assert(image != (const Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
width=GetOptimalKernelWidth2D(radius,sigma);
|
||
kernel_info=AcquireKernelInfo((const char *) NULL,exception);
|
||
if (kernel_info == (KernelInfo *) NULL)
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
(void) memset(kernel_info,0,sizeof(*kernel_info));
|
||
kernel_info->width=width;
|
||
kernel_info->height=width;
|
||
kernel_info->x=(ssize_t) (width-1)/2;
|
||
kernel_info->y=(ssize_t) (width-1)/2;
|
||
kernel_info->signature=MagickCoreSignature;
|
||
kernel_info->values=(MagickRealType *) MagickAssumeAligned(
|
||
AcquireAlignedMemory(kernel_info->width,kernel_info->height*
|
||
sizeof(*kernel_info->values)));
|
||
if (kernel_info->values == (MagickRealType *) NULL)
|
||
{
|
||
kernel_info=DestroyKernelInfo(kernel_info);
|
||
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
|
||
}
|
||
normalize=0.0;
|
||
j=(ssize_t) (kernel_info->width-1)/2;
|
||
i=0;
|
||
for (v=(-j); v <= j; v++)
|
||
{
|
||
for (u=(-j); u <= j; u++)
|
||
{
|
||
kernel_info->values[i]=(MagickRealType) (-exp(-((double) u*u+v*v)/(2.0*
|
||
MagickSigma*MagickSigma))/(2.0*MagickPI*MagickSigma*MagickSigma));
|
||
normalize+=kernel_info->values[i];
|
||
i++;
|
||
}
|
||
}
|
||
kernel_info->values[i/2]=(double) ((-2.0)*normalize);
|
||
normalize=0.0;
|
||
for (i=0; i < (ssize_t) (kernel_info->width*kernel_info->height); i++)
|
||
normalize+=kernel_info->values[i];
|
||
gamma=PerceptibleReciprocal(normalize);
|
||
for (i=0; i < (ssize_t) (kernel_info->width*kernel_info->height); i++)
|
||
kernel_info->values[i]*=gamma;
|
||
sharp_image=ConvolveImage(image,kernel_info,exception);
|
||
kernel_info=DestroyKernelInfo(kernel_info);
|
||
return(sharp_image);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% S p r e a d I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% SpreadImage() is a special effects method that randomly displaces each
|
||
% pixel in a square area defined by the radius parameter.
|
||
%
|
||
% The format of the SpreadImage method is:
|
||
%
|
||
% Image *SpreadImage(const Image *image,
|
||
% const PixelInterpolateMethod method,const double radius,
|
||
% ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o method: interpolation method.
|
||
%
|
||
% o radius: choose a random pixel in a neighborhood of this extent.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport Image *SpreadImage(const Image *image,
|
||
const PixelInterpolateMethod method,const double radius,
|
||
ExceptionInfo *exception)
|
||
{
|
||
#define SpreadImageTag "Spread/Image"
|
||
|
||
CacheView
|
||
*image_view,
|
||
*spread_view;
|
||
|
||
Image
|
||
*spread_image;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
MagickOffsetType
|
||
progress;
|
||
|
||
RandomInfo
|
||
**magick_restrict random_info;
|
||
|
||
size_t
|
||
width;
|
||
|
||
ssize_t
|
||
y;
|
||
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
unsigned long
|
||
key;
|
||
#endif
|
||
|
||
/*
|
||
Initialize spread image attributes.
|
||
*/
|
||
assert(image != (Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
spread_image=CloneImage(image,0,0,MagickTrue,exception);
|
||
if (spread_image == (Image *) NULL)
|
||
return((Image *) NULL);
|
||
if (SetImageStorageClass(spread_image,DirectClass,exception) == MagickFalse)
|
||
{
|
||
spread_image=DestroyImage(spread_image);
|
||
return((Image *) NULL);
|
||
}
|
||
/*
|
||
Spread image.
|
||
*/
|
||
status=MagickTrue;
|
||
progress=0;
|
||
width=GetOptimalKernelWidth1D(radius,0.5);
|
||
random_info=AcquireRandomInfoTLS();
|
||
image_view=AcquireVirtualCacheView(image,exception);
|
||
spread_view=AcquireAuthenticCacheView(spread_image,exception);
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
key=GetRandomSecretKey(random_info[0]);
|
||
#pragma omp parallel for schedule(static) shared(progress,status) \
|
||
magick_number_threads(image,spread_image,image->rows,key == ~0UL)
|
||
#endif
|
||
for (y=0; y < (ssize_t) image->rows; y++)
|
||
{
|
||
const int
|
||
id = GetOpenMPThreadId();
|
||
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
q=QueueCacheViewAuthenticPixels(spread_view,0,y,spread_image->columns,1,
|
||
exception);
|
||
if (q == (Quantum *) NULL)
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
for (x=0; x < (ssize_t) image->columns; x++)
|
||
{
|
||
PointInfo
|
||
point;
|
||
|
||
point.x=GetPseudoRandomValue(random_info[id]);
|
||
point.y=GetPseudoRandomValue(random_info[id]);
|
||
status=InterpolatePixelChannels(image,image_view,spread_image,method,
|
||
(double) x+width*(point.x-0.5),(double) y+width*(point.y-0.5),q,
|
||
exception);
|
||
if (status == MagickFalse)
|
||
break;
|
||
q+=GetPixelChannels(spread_image);
|
||
}
|
||
if (SyncCacheViewAuthenticPixels(spread_view,exception) == MagickFalse)
|
||
status=MagickFalse;
|
||
if (image->progress_monitor != (MagickProgressMonitor) NULL)
|
||
{
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp atomic
|
||
#endif
|
||
progress++;
|
||
proceed=SetImageProgress(image,SpreadImageTag,progress,image->rows);
|
||
if (proceed == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
}
|
||
spread_view=DestroyCacheView(spread_view);
|
||
image_view=DestroyCacheView(image_view);
|
||
random_info=DestroyRandomInfoTLS(random_info);
|
||
if (status == MagickFalse)
|
||
spread_image=DestroyImage(spread_image);
|
||
return(spread_image);
|
||
}
|
||
|
||
/*
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
% %
|
||
% %
|
||
% %
|
||
% U n s h a r p M a s k I m a g e %
|
||
% %
|
||
% %
|
||
% %
|
||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||
%
|
||
% UnsharpMaskImage() sharpens one or more image channels. We convolve the
|
||
% image with a Gaussian operator of the given radius and standard deviation
|
||
% (sigma). For reasonable results, radius should be larger than sigma. Use a
|
||
% radius of 0 and UnsharpMaskImage() selects a suitable radius for you.
|
||
%
|
||
% The format of the UnsharpMaskImage method is:
|
||
%
|
||
% Image *UnsharpMaskImage(const Image *image,const double radius,
|
||
% const double sigma,const double amount,const double threshold,
|
||
% ExceptionInfo *exception)
|
||
%
|
||
% A description of each parameter follows:
|
||
%
|
||
% o image: the image.
|
||
%
|
||
% o radius: the radius of the Gaussian, in pixels, not counting the center
|
||
% pixel.
|
||
%
|
||
% o sigma: the standard deviation of the Gaussian, in pixels.
|
||
%
|
||
% o gain: the percentage of the difference between the original and the
|
||
% blur image that is added back into the original.
|
||
%
|
||
% o threshold: the threshold in pixels needed to apply the difference gain.
|
||
%
|
||
% o exception: return any errors or warnings in this structure.
|
||
%
|
||
*/
|
||
MagickExport Image *UnsharpMaskImage(const Image *image,const double radius,
|
||
const double sigma,const double gain,const double threshold,
|
||
ExceptionInfo *exception)
|
||
{
|
||
#define SharpenImageTag "Sharpen/Image"
|
||
|
||
CacheView
|
||
*image_view,
|
||
*unsharp_view;
|
||
|
||
Image
|
||
*unsharp_image;
|
||
|
||
MagickBooleanType
|
||
status;
|
||
|
||
MagickOffsetType
|
||
progress;
|
||
|
||
double
|
||
quantum_threshold;
|
||
|
||
ssize_t
|
||
y;
|
||
|
||
assert(image != (const Image *) NULL);
|
||
assert(image->signature == MagickCoreSignature);
|
||
assert(exception != (ExceptionInfo *) NULL);
|
||
assert(exception->signature == MagickCoreSignature);
|
||
if (IsEventLogging() != MagickFalse)
|
||
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
|
||
/* This kernel appears to be broken.
|
||
#if defined(MAGICKCORE_OPENCL_SUPPORT)
|
||
unsharp_image=AccelerateUnsharpMaskImage(image,radius,sigma,gain,threshold,
|
||
exception);
|
||
if (unsharp_image != (Image *) NULL)
|
||
return(unsharp_image);
|
||
#endif
|
||
*/
|
||
unsharp_image=BlurImage(image,radius,sigma,exception);
|
||
if (unsharp_image == (Image *) NULL)
|
||
return((Image *) NULL);
|
||
quantum_threshold=(double) QuantumRange*threshold;
|
||
/*
|
||
Unsharp-mask image.
|
||
*/
|
||
status=MagickTrue;
|
||
progress=0;
|
||
image_view=AcquireVirtualCacheView(image,exception);
|
||
unsharp_view=AcquireAuthenticCacheView(unsharp_image,exception);
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp parallel for schedule(static) shared(progress,status) \
|
||
magick_number_threads(image,unsharp_image,image->rows,1)
|
||
#endif
|
||
for (y=0; y < (ssize_t) image->rows; y++)
|
||
{
|
||
const Quantum
|
||
*magick_restrict p;
|
||
|
||
Quantum
|
||
*magick_restrict q;
|
||
|
||
ssize_t
|
||
x;
|
||
|
||
if (status == MagickFalse)
|
||
continue;
|
||
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
|
||
q=GetCacheViewAuthenticPixels(unsharp_view,0,y,unsharp_image->columns,1,
|
||
exception);
|
||
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
|
||
{
|
||
status=MagickFalse;
|
||
continue;
|
||
}
|
||
for (x=0; x < (ssize_t) image->columns; x++)
|
||
{
|
||
ssize_t
|
||
i;
|
||
|
||
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
|
||
{
|
||
double
|
||
pixel;
|
||
|
||
PixelChannel
|
||
channel;
|
||
|
||
PixelTrait
|
||
traits,
|
||
unsharp_traits;
|
||
|
||
channel=GetPixelChannelChannel(image,i);
|
||
traits=GetPixelChannelTraits(image,channel);
|
||
unsharp_traits=GetPixelChannelTraits(unsharp_image,channel);
|
||
if ((traits == UndefinedPixelTrait) ||
|
||
(unsharp_traits == UndefinedPixelTrait))
|
||
continue;
|
||
if ((unsharp_traits & CopyPixelTrait) != 0)
|
||
{
|
||
SetPixelChannel(unsharp_image,channel,p[i],q);
|
||
continue;
|
||
}
|
||
pixel=(double) p[i]-(double) GetPixelChannel(unsharp_image,channel,q);
|
||
if (fabs(2.0*pixel) < quantum_threshold)
|
||
pixel=(double) p[i];
|
||
else
|
||
pixel=(double) p[i]+gain*pixel;
|
||
SetPixelChannel(unsharp_image,channel,ClampToQuantum(pixel),q);
|
||
}
|
||
p+=GetPixelChannels(image);
|
||
q+=GetPixelChannels(unsharp_image);
|
||
}
|
||
if (SyncCacheViewAuthenticPixels(unsharp_view,exception) == MagickFalse)
|
||
status=MagickFalse;
|
||
if (image->progress_monitor != (MagickProgressMonitor) NULL)
|
||
{
|
||
MagickBooleanType
|
||
proceed;
|
||
|
||
#if defined(MAGICKCORE_OPENMP_SUPPORT)
|
||
#pragma omp atomic
|
||
#endif
|
||
progress++;
|
||
proceed=SetImageProgress(image,SharpenImageTag,progress,image->rows);
|
||
if (proceed == MagickFalse)
|
||
status=MagickFalse;
|
||
}
|
||
}
|
||
unsharp_image->type=image->type;
|
||
unsharp_view=DestroyCacheView(unsharp_view);
|
||
image_view=DestroyCacheView(image_view);
|
||
if (status == MagickFalse)
|
||
unsharp_image=DestroyImage(unsharp_image);
|
||
return(unsharp_image);
|
||
}
|