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statistic.c
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statistic.c
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/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% SSSSS TTTTT AAA TTTTT IIIII SSSSS TTTTT IIIII CCCC %
% SS T A A T I SS T I C %
% SSS T AAAAA T I SSS T I C %
% SS T A A T I SS T I C %
% SSSSS T A A T IIIII SSSSS T IIIII CCCC %
% %
% %
% MagickCore Image Statistical Methods %
% %
% Software Design %
% Cristy %
% July 1992 %
% %
% %
% 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/animate.h"
#include "MagickCore/artifact.h"
#include "MagickCore/blob.h"
#include "MagickCore/blob-private.h"
#include "MagickCore/cache.h"
#include "MagickCore/cache-private.h"
#include "MagickCore/cache-view.h"
#include "MagickCore/client.h"
#include "MagickCore/color.h"
#include "MagickCore/color-private.h"
#include "MagickCore/colorspace.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/composite.h"
#include "MagickCore/composite-private.h"
#include "MagickCore/compress.h"
#include "MagickCore/constitute.h"
#include "MagickCore/display.h"
#include "MagickCore/draw.h"
#include "MagickCore/enhance.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/gem.h"
#include "MagickCore/gem-private.h"
#include "MagickCore/geometry.h"
#include "MagickCore/list.h"
#include "MagickCore/image-private.h"
#include "MagickCore/magic.h"
#include "MagickCore/magick.h"
#include "MagickCore/memory_.h"
#include "MagickCore/module.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/option.h"
#include "MagickCore/paint.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/profile.h"
#include "MagickCore/property.h"
#include "MagickCore/quantize.h"
#include "MagickCore/quantum-private.h"
#include "MagickCore/random_.h"
#include "MagickCore/random-private.h"
#include "MagickCore/resource_.h"
#include "MagickCore/segment.h"
#include "MagickCore/semaphore.h"
#include "MagickCore/signature-private.h"
#include "MagickCore/statistic.h"
#include "MagickCore/statistic-private.h"
#include "MagickCore/string_.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/timer.h"
#include "MagickCore/utility.h"
#include "MagickCore/version.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% E v a l u a t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% EvaluateImage() applies a value to the image with an arithmetic, relational,
% or logical operator to an image. Use these operations to lighten or darken
% an image, to increase or decrease contrast in an image, or to produce the
% "negative" of an image.
%
% The format of the EvaluateImage method is:
%
% MagickBooleanType EvaluateImage(Image *image,
% const MagickEvaluateOperator op,const double value,
% ExceptionInfo *exception)
% MagickBooleanType EvaluateImages(Image *images,
% const MagickEvaluateOperator op,const double value,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o op: A channel op.
%
% o value: A value value.
%
% o exception: return any errors or warnings in this structure.
%
*/
typedef struct _PixelChannels
{
double
channel[MaxPixelChannels];
} PixelChannels;
static PixelChannels **DestroyPixelTLS(const Image *images,
PixelChannels **pixels)
{
ssize_t
i;
size_t
rows;
assert(pixels != (PixelChannels **) NULL);
rows=MagickMax(GetImageListLength(images),(size_t)
GetMagickResourceLimit(ThreadResource));
for (i=0; i < (ssize_t) rows; i++)
if (pixels[i] != (PixelChannels *) NULL)
pixels[i]=(PixelChannels *) RelinquishMagickMemory(pixels[i]);
pixels=(PixelChannels **) RelinquishMagickMemory(pixels);
return(pixels);
}
static PixelChannels **AcquirePixelTLS(const Image *images)
{
const Image
*next;
PixelChannels
**pixels;
ssize_t
i;
size_t
columns,
number_images,
rows;
number_images=GetImageListLength(images);
rows=MagickMax(number_images,(size_t) GetMagickResourceLimit(ThreadResource));
pixels=(PixelChannels **) AcquireQuantumMemory(rows,sizeof(*pixels));
if (pixels == (PixelChannels **) NULL)
return((PixelChannels **) NULL);
(void) memset(pixels,0,rows*sizeof(*pixels));
columns=MagickMax(number_images,MaxPixelChannels);
for (next=images; next != (Image *) NULL; next=next->next)
columns=MagickMax(next->columns,columns);
for (i=0; i < (ssize_t) rows; i++)
{
ssize_t
j;
pixels[i]=(PixelChannels *) AcquireQuantumMemory(columns,sizeof(**pixels));
if (pixels[i] == (PixelChannels *) NULL)
return(DestroyPixelTLS(images,pixels));
for (j=0; j < (ssize_t) columns; j++)
{
ssize_t
k;
for (k=0; k < MaxPixelChannels; k++)
pixels[i][j].channel[k]=0.0;
}
}
return(pixels);
}
static inline double EvaluateMax(const double x,const double y)
{
if (x > y)
return(x);
return(y);
}
#if defined(__cplusplus) || defined(c_plusplus)
extern "C" {
#endif
static int IntensityCompare(const void *x,const void *y)
{
const PixelChannels
*color_1,
*color_2;
double
distance;
ssize_t
i;
color_1=(const PixelChannels *) x;
color_2=(const PixelChannels *) y;
distance=0.0;
for (i=0; i < MaxPixelChannels; i++)
distance+=color_1->channel[i]-(double) color_2->channel[i];
return(distance < 0.0 ? -1 : distance > 0.0 ? 1 : 0);
}
#if defined(__cplusplus) || defined(c_plusplus)
}
#endif
static double ApplyEvaluateOperator(RandomInfo *random_info,const Quantum pixel,
const MagickEvaluateOperator op,const double value)
{
double
result;
ssize_t
i;
result=0.0;
switch (op)
{
case UndefinedEvaluateOperator:
break;
case AbsEvaluateOperator:
{
result=(double) fabs((double) pixel+value);
break;
}
case AddEvaluateOperator:
{
result=(double) pixel+value;
break;
}
case AddModulusEvaluateOperator:
{
/*
This returns a 'floored modulus' of the addition which is a positive
result. It differs from % or fmod() that returns a 'truncated modulus'
result, where floor() is replaced by trunc() and could return a
negative result (which is clipped).
*/
result=(double) pixel+value;
result-=((double) QuantumRange+1.0)*floor(result/((double)
QuantumRange+1.0));
break;
}
case AndEvaluateOperator:
{
result=(double) ((ssize_t) pixel & (ssize_t) (value+0.5));
break;
}
case CosineEvaluateOperator:
{
result=(double) QuantumRange*(0.5*cos((double) (2.0*MagickPI*
QuantumScale*(double) pixel*value))+0.5);
break;
}
case DivideEvaluateOperator:
{
result=(double) pixel/(value == 0.0 ? 1.0 : value);
break;
}
case ExponentialEvaluateOperator:
{
result=(double) QuantumRange*exp(value*QuantumScale*(double) pixel);
break;
}
case GaussianNoiseEvaluateOperator:
{
result=(double) GenerateDifferentialNoise(random_info,pixel,GaussianNoise,
value);
break;
}
case ImpulseNoiseEvaluateOperator:
{
result=(double) GenerateDifferentialNoise(random_info,pixel,ImpulseNoise,
value);
break;
}
case InverseLogEvaluateOperator:
{
result=(double) QuantumRange*pow((value+1.0),QuantumScale*(double)
pixel-1.0)*PerceptibleReciprocal(value);
break;
}
case LaplacianNoiseEvaluateOperator:
{
result=(double) GenerateDifferentialNoise(random_info,pixel,
LaplacianNoise,value);
break;
}
case LeftShiftEvaluateOperator:
{
result=(double) pixel;
for (i=0; i < (ssize_t) value; i++)
result*=2.0;
break;
}
case LogEvaluateOperator:
{
if ((QuantumScale*(double) pixel) >= MagickEpsilon)
result=(double) QuantumRange*log(QuantumScale*value*
(double) pixel+1.0)/log((double) (value+1.0));
break;
}
case MaxEvaluateOperator:
{
result=(double) EvaluateMax((double) pixel,value);
break;
}
case MeanEvaluateOperator:
{
result=(double) pixel+value;
break;
}
case MedianEvaluateOperator:
{
result=(double) pixel+value;
break;
}
case MinEvaluateOperator:
{
result=MagickMin((double) pixel,value);
break;
}
case MultiplicativeNoiseEvaluateOperator:
{
result=(double) GenerateDifferentialNoise(random_info,pixel,
MultiplicativeGaussianNoise,value);
break;
}
case MultiplyEvaluateOperator:
{
result=(double) pixel*value;
break;
}
case OrEvaluateOperator:
{
result=(double) ((ssize_t) pixel | (ssize_t) (value+0.5));
break;
}
case PoissonNoiseEvaluateOperator:
{
result=(double) GenerateDifferentialNoise(random_info,pixel,PoissonNoise,
value);
break;
}
case PowEvaluateOperator:
{
if (((double) pixel < 0) && ((value-floor(value)) > MagickEpsilon))
result=(double) -((double) QuantumRange*pow(-(QuantumScale*(double)
pixel),(double) value));
else
result=(double) QuantumRange*pow(QuantumScale*(double) pixel,
(double) value);
break;
}
case RightShiftEvaluateOperator:
{
result=(double) pixel;
for (i=0; i < (ssize_t) value; i++)
result/=2.0;
break;
}
case RootMeanSquareEvaluateOperator:
{
result=((double) pixel*(double) pixel+value);
break;
}
case SetEvaluateOperator:
{
result=value;
break;
}
case SineEvaluateOperator:
{
result=(double) QuantumRange*(0.5*sin((double) (2.0*MagickPI*
QuantumScale*(double) pixel*value))+0.5);
break;
}
case SubtractEvaluateOperator:
{
result=(double) pixel-value;
break;
}
case SumEvaluateOperator:
{
result=(double) pixel+value;
break;
}
case ThresholdEvaluateOperator:
{
result=(double) (((double) pixel <= value) ? 0 : QuantumRange);
break;
}
case ThresholdBlackEvaluateOperator:
{
result=(double) (((double) pixel <= value) ? 0 : pixel);
break;
}
case ThresholdWhiteEvaluateOperator:
{
result=(double) (((double) pixel > value) ? QuantumRange : pixel);
break;
}
case UniformNoiseEvaluateOperator:
{
result=(double) GenerateDifferentialNoise(random_info,pixel,UniformNoise,
value);
break;
}
case XorEvaluateOperator:
{
result=(double) ((ssize_t) pixel ^ (ssize_t) (value+0.5));
break;
}
}
return(result);
}
static Image *AcquireImageCanvas(const Image *images,ExceptionInfo *exception)
{
const Image
*p,
*q;
size_t
columns,
rows;
q=images;
columns=images->columns;
rows=images->rows;
for (p=images; p != (Image *) NULL; p=p->next)
{
if (p->number_channels > q->number_channels)
q=p;
if (p->columns > columns)
columns=p->columns;
if (p->rows > rows)
rows=p->rows;
}
return(CloneImage(q,columns,rows,MagickTrue,exception));
}
MagickExport Image *EvaluateImages(const Image *images,
const MagickEvaluateOperator op,ExceptionInfo *exception)
{
#define EvaluateImageTag "Evaluate/Image"
CacheView
*evaluate_view,
**image_view;
const Image
*view;
Image
*image;
MagickBooleanType
status;
MagickOffsetType
progress;
PixelChannels
**magick_restrict evaluate_pixels;
RandomInfo
**magick_restrict random_info;
size_t
number_images;
ssize_t
n,
y;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
unsigned long
key;
#endif
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if (IsEventLogging() != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
image=AcquireImageCanvas(images,exception);
if (image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
{
image=DestroyImage(image);
return((Image *) NULL);
}
number_images=GetImageListLength(images);
evaluate_pixels=AcquirePixelTLS(images);
if (evaluate_pixels == (PixelChannels **) NULL)
{
image=DestroyImage(image);
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",images->filename);
return((Image *) NULL);
}
image_view=(CacheView **) AcquireQuantumMemory(number_images,
sizeof(*image_view));
if (image_view == (CacheView **) NULL)
{
image=DestroyImage(image);
evaluate_pixels=DestroyPixelTLS(images,evaluate_pixels);
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",images->filename);
return(image);
}
view=images;
for (n=0; n < (ssize_t) number_images; n++)
{
image_view[n]=AcquireVirtualCacheView(view,exception);
view=GetNextImageInList(view);
}
/*
Evaluate image pixels.
*/
status=MagickTrue;
progress=0;
random_info=AcquireRandomInfoTLS();
evaluate_view=AcquireAuthenticCacheView(image,exception);
if (op == MedianEvaluateOperator)
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
key=GetRandomSecretKey(random_info[0]);
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,images,image->rows,key == ~0UL)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
const Quantum
**p;
PixelChannels
*evaluate_pixel;
Quantum
*magick_restrict q;
ssize_t
x;
ssize_t
j;
if (status == MagickFalse)
continue;
p=(const Quantum **) AcquireQuantumMemory(number_images,sizeof(*p));
if (p == (const Quantum **) NULL)
{
status=MagickFalse;
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",
images->filename);
continue;
}
for (j=0; j < (ssize_t) number_images; j++)
{
p[j]=GetCacheViewVirtualPixels(image_view[j],0,y,image->columns,1,
exception);
if (p[j] == (const Quantum *) NULL)
break;
}
q=QueueCacheViewAuthenticPixels(evaluate_view,0,y,image->columns,1,
exception);
if ((j < (ssize_t) number_images) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
evaluate_pixel=evaluate_pixels[id];
for (x=0; x < (ssize_t) image->columns; x++)
{
const Image
*next;
ssize_t
i;
next=images;
for (j=0; j < (ssize_t) number_images; j++)
{
for (i=0; i < MaxPixelChannels; i++)
evaluate_pixel[j].channel[i]=0.0;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(next,channel);
PixelTrait evaluate_traits = GetPixelChannelTraits(image,channel);
if ((traits == UndefinedPixelTrait) ||
(evaluate_traits == UndefinedPixelTrait) ||
((traits & UpdatePixelTrait) == 0))
continue;
evaluate_pixel[j].channel[i]=ApplyEvaluateOperator(
random_info[id],GetPixelChannel(next,channel,p[j]),op,
evaluate_pixel[j].channel[i]);
}
p[j]+=GetPixelChannels(next);
next=GetNextImageInList(next);
}
qsort((void *) evaluate_pixel,number_images,sizeof(*evaluate_pixel),
IntensityCompare);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits == UndefinedPixelTrait) ||
((traits & UpdatePixelTrait) == 0))
continue;
q[i]=ClampToQuantum(evaluate_pixel[number_images/2].channel[i]);
}
q+=GetPixelChannels(image);
}
p=(const Quantum **) RelinquishMagickMemory((void *) p);
if (SyncCacheViewAuthenticPixels(evaluate_view,exception) == MagickFalse)
status=MagickFalse;
if (images->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(images,EvaluateImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
}
else
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
key=GetRandomSecretKey(random_info[0]);
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,images,image->rows,key == ~0UL)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const Image
*next;
const int
id = GetOpenMPThreadId();
const Quantum
**p;
PixelChannels
*evaluate_pixel;
Quantum
*magick_restrict q;
ssize_t
i,
x;
ssize_t
j;
if (status == MagickFalse)
continue;
p=(const Quantum **) AcquireQuantumMemory(number_images,sizeof(*p));
if (p == (const Quantum **) NULL)
{
status=MagickFalse;
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",
images->filename);
continue;
}
for (j=0; j < (ssize_t) number_images; j++)
{
p[j]=GetCacheViewVirtualPixels(image_view[j],0,y,image->columns,1,
exception);
if (p[j] == (const Quantum *) NULL)
break;
}
q=QueueCacheViewAuthenticPixels(evaluate_view,0,y,image->columns,1,
exception);
if ((j < (ssize_t) number_images) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
evaluate_pixel=evaluate_pixels[id];
for (j=0; j < (ssize_t) image->columns; j++)
for (i=0; i < MaxPixelChannels; i++)
evaluate_pixel[j].channel[i]=0.0;
next=images;
for (j=0; j < (ssize_t) number_images; j++)
{
for (x=0; x < (ssize_t) image->columns; x++)
{
for (i=0; i < (ssize_t) GetPixelChannels(next); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(next,channel);
PixelTrait evaluate_traits = GetPixelChannelTraits(image,channel);
if ((traits == UndefinedPixelTrait) ||
(evaluate_traits == UndefinedPixelTrait))
continue;
if ((traits & UpdatePixelTrait) == 0)
continue;
evaluate_pixel[x].channel[i]=ApplyEvaluateOperator(
random_info[id],GetPixelChannel(next,channel,p[j]),j == 0 ?
AddEvaluateOperator : op,evaluate_pixel[x].channel[i]);
}
p[j]+=GetPixelChannels(next);
}
next=GetNextImageInList(next);
}
for (x=0; x < (ssize_t) image->columns; x++)
{
switch (op)
{
case MeanEvaluateOperator:
{
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
evaluate_pixel[x].channel[i]/=(double) number_images;
break;
}
case MultiplyEvaluateOperator:
{
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
for (j=0; j < (ssize_t) (number_images-1); j++)
evaluate_pixel[x].channel[i]*=QuantumScale;
}
break;
}
case RootMeanSquareEvaluateOperator:
{
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
evaluate_pixel[x].channel[i]=sqrt(evaluate_pixel[x].channel[i]/
number_images);
break;
}
default:
break;
}
}
for (x=0; x < (ssize_t) image->columns; x++)
{
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits == UndefinedPixelTrait) ||
((traits & UpdatePixelTrait) == 0))
continue;
q[i]=ClampToQuantum(evaluate_pixel[x].channel[i]);
}
q+=GetPixelChannels(image);
}
p=(const Quantum **) RelinquishMagickMemory((void *) p);
if (SyncCacheViewAuthenticPixels(evaluate_view,exception) == MagickFalse)
status=MagickFalse;
if (images->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(images,EvaluateImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
}
for (n=0; n < (ssize_t) number_images; n++)
image_view[n]=DestroyCacheView(image_view[n]);
image_view=(CacheView **) RelinquishMagickMemory(image_view);
evaluate_view=DestroyCacheView(evaluate_view);
evaluate_pixels=DestroyPixelTLS(images,evaluate_pixels);
random_info=DestroyRandomInfoTLS(random_info);
if (status == MagickFalse)
image=DestroyImage(image);
return(image);
}
MagickExport MagickBooleanType EvaluateImage(Image *image,
const MagickEvaluateOperator op,const double value,ExceptionInfo *exception)
{
CacheView
*image_view;
const char
*artifact;
MagickBooleanType
clamp,
status;
MagickOffsetType
progress;
RandomInfo
**magick_restrict random_info;
ssize_t
y;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
unsigned long
key;
#endif
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 (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
return(MagickFalse);
status=MagickTrue;
progress=0;
clamp=MagickFalse;
artifact=GetImageArtifact(image,"evaluate:clamp");
if (artifact != (const char *) NULL)
clamp=IsStringTrue(artifact);
random_info=AcquireRandomInfoTLS();
image_view=AcquireAuthenticCacheView(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,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=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
result;
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if (traits == UndefinedPixelTrait)
continue;
if ((traits & CopyPixelTrait) != 0)
continue;
if ((traits & UpdatePixelTrait) == 0)
continue;
result=ApplyEvaluateOperator(random_info[id],q[i],op,value);
if (op == MeanEvaluateOperator)
result/=2.0;
q[i]=clamp != MagickFalse ? ClampPixel(result) : ClampToQuantum(result);
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_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,EvaluateImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
random_info=DestroyRandomInfoTLS(random_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% F u n c t i o n I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FunctionImage() applies a value to the image with an arithmetic, relational,
% or logical operator to an image. Use these operations to lighten or darken
% an image, to increase or decrease contrast in an image, or to produce the
% "negative" of an image.
%
% The format of the FunctionImage method is:
%
% MagickBooleanType FunctionImage(Image *image,
% const MagickFunction function,const ssize_t number_parameters,
% const double *parameters,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o function: A channel function.
%
% o parameters: one or more parameters.
%
% o exception: return any errors or warnings in this structure.
%
*/
static Quantum ApplyFunction(Quantum pixel,const MagickFunction function,
const size_t number_parameters,const double *parameters,
ExceptionInfo *exception)
{
double
result;
ssize_t
i;
(void) exception;
result=0.0;
switch (function)
{
case PolynomialFunction:
{
/*
Polynomial: polynomial constants, highest to lowest order (e.g. c0*x^3+
c1*x^2+c2*x+c3).
*/
result=0.0;
for (i=0; i < (ssize_t) number_parameters; i++)
result=result*QuantumScale*(double) pixel+parameters[i];