#include "MagickCore/string_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/thread-private.h"
+#include "MagickCore/threshold.h"
#include "MagickCore/token.h"
#include "MagickCore/xml-tree.h"
#include "MagickCore/xml-tree-private.h"
PixelTrait
traits;
- channel=GetPixelChannelMapChannel(image,i);
- traits=GetPixelChannelMapTraits(image,channel);
+ channel=GetPixelChannelChannel(image,i);
+ traits=GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
- channel_mask=SetPixelChannelMask(image,(ChannelType) (1 << i));
+ channel_mask=SetImageChannelMask(image,(ChannelType) (1 << i));
status=GetImageMean(image,&mean,&sans,exception);
gamma=log(mean*QuantumScale)/log_mean;
status&=LevelImage(image,0.0,(double) QuantumRange,gamma,exception);
- (void) SetPixelChannelMask(image,channel_mask);
+ (void) SetImageChannelMask(image,channel_mask);
if (status == MagickFalse)
break;
}
progress=0;
adjust=(ssize_t) (clut_image->interpolate == IntegerInterpolatePixel ? 0 : 1);
clut_view=AcquireVirtualCacheView(clut_image,exception);
-#if defined(MAGICKCORE_OPENMP_SUPPORT)
- #pragma omp parallel for schedule(static,4) \
- dynamic_number_threads(image,image->columns,1,1)
-#endif
for (i=0; i <= (ssize_t) MaxMap; i++)
{
GetPixelInfo(clut_image,clut_map+i);
}
image_view=DestroyCacheView(image_view);
clut_map=(PixelInfo *) RelinquishMagickMemory(clut_map);
- if ((clut_image->matte != MagickFalse) &&
+ if ((clut_image->alpha_trait == BlendPixelTrait) &&
((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0))
(void) SetImageAlphaChannel(image,ActivateAlphaChannel,exception);
return(status);
if (cdl_map == (PixelInfo *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
-#if defined(MAGICKCORE_OPENMP_SUPPORT)
- #pragma omp parallel for schedule(static,4) \
- dynamic_number_threads(image,image->columns,1,1)
-#endif
for (i=0; i <= (ssize_t) MaxMap; i++)
{
- cdl_map[i].red=(MagickRealType) ScaleMapToQuantum((MagickRealType)
+ cdl_map[i].red=(double) ScaleMapToQuantum((double)
(MaxMap*(pow(color_correction.red.slope*i/MaxMap+
color_correction.red.offset,color_correction.red.power))));
- cdl_map[i].green=(MagickRealType) ScaleMapToQuantum((MagickRealType)
+ cdl_map[i].green=(double) ScaleMapToQuantum((double)
(MaxMap*(pow(color_correction.green.slope*i/MaxMap+
color_correction.green.offset,color_correction.green.power))));
- cdl_map[i].blue=(MagickRealType) ScaleMapToQuantum((MagickRealType)
+ cdl_map[i].blue=(double) ScaleMapToQuantum((double)
(MaxMap*(pow(color_correction.blue.slope*i/MaxMap+
color_correction.blue.offset,color_correction.blue.power))));
}
if (image->storage_class == PseudoClass)
+ for (i=0; i < (ssize_t) image->colors; i++)
{
/*
Apply transfer function to colormap.
*/
-#if defined(MAGICKCORE_OPENMP_SUPPORT)
- #pragma omp parallel for schedule(static,4) shared(progress,status) \
- dynamic_number_threads(image,image->columns,1,1)
-#endif
- for (i=0; i < (ssize_t) image->colors; i++)
- {
- double
- luma;
-
- luma=0.21267*image->colormap[i].red+0.71526*image->colormap[i].green+
- 0.07217*image->colormap[i].blue;
- image->colormap[i].red=luma+color_correction.saturation*cdl_map[
- ScaleQuantumToMap(ClampToQuantum(image->colormap[i].red))].red-
- luma;
- image->colormap[i].green=luma+color_correction.saturation*cdl_map[
- ScaleQuantumToMap(ClampToQuantum(image->colormap[i].green))].green-
- luma;
- image->colormap[i].blue=luma+color_correction.saturation*cdl_map[
- ScaleQuantumToMap(ClampToQuantum(image->colormap[i].blue))].blue-
- luma;
- }
+ double
+ luma;
+
+ luma=0.21267*image->colormap[i].red+0.71526*image->colormap[i].green+
+ 0.07217*image->colormap[i].blue;
+ image->colormap[i].red=luma+color_correction.saturation*cdl_map[
+ ScaleQuantumToMap(ClampToQuantum(image->colormap[i].red))].red-luma;
+ image->colormap[i].green=luma+color_correction.saturation*cdl_map[
+ ScaleQuantumToMap(ClampToQuantum(image->colormap[i].green))].green-luma;
+ image->colormap[i].blue=luma+color_correction.saturation*cdl_map[
+ ScaleQuantumToMap(ClampToQuantum(image->colormap[i].blue))].blue-luma;
}
/*
Apply transfer function to image.
MagickExport MagickBooleanType ContrastStretchImage(Image *image,
const double black_point,const double white_point,ExceptionInfo *exception)
{
-#define MaxRange(color) ((MagickRealType) ScaleQuantumToMap((Quantum) (color)))
+#define MaxRange(color) ((double) ScaleQuantumToMap((Quantum) (color)))
#define ContrastStretchImageTag "ContrastStretch/Image"
CacheView
register ssize_t
i;
- pixel=(double) GetPixelIntensity(image,p);
+ pixel=GetPixelIntensity(image,p);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
if (image->channel_mask != DefaultChannels)
- pixel=p[i];
- histogram[GetPixelChannels(image)*ScaleQuantumToMap(pixel)+i]++;
+ pixel=(double) p[i];
+ histogram[GetPixelChannels(image)*ScaleQuantumToMap(
+ ClampToQuantum(pixel))+i]++;
}
p+=GetPixelChannels(image);
}
Find the histogram boundaries by locating the black/white levels.
*/
number_channels=GetPixelChannels(image);
-#if defined(MAGICKCORE_OPENMP_SUPPORT)
- #pragma omp parallel for schedule(static,4) shared(progress,status) \
- dynamic_number_threads(image,image->columns,1,1)
-#endif
for (i=0; i < (ssize_t) number_channels; i++)
{
double
if (intensity > black_point)
break;
}
- black[i]=(MagickRealType) j;
+ black[i]=(double) j;
intensity=0.0;
for (j=(ssize_t) MaxMap; j != 0; j--)
{
if (intensity > ((double) image->columns*image->rows-white_point))
break;
}
- white[i]=(MagickRealType) j;
+ white[i]=(double) j;
}
histogram=(double *) RelinquishMagickMemory(histogram);
/*
(void) ResetMagickMemory(stretch_map,0,(MaxMap+1)*GetPixelChannels(image)*
sizeof(*stretch_map));
number_channels=GetPixelChannels(image);
-#if defined(MAGICKCORE_OPENMP_SUPPORT)
- #pragma omp parallel for schedule(static,4) shared(progress,status) \
- dynamic_number_threads(image,image->columns,1,1)
-#endif
for (i=0; i < (ssize_t) number_channels; i++)
{
register ssize_t
stretch_map[GetPixelChannels(image)*j+i]=0.0;
else
if (j > (ssize_t) white[i])
- stretch_map[GetPixelChannels(image)*j+i]=(MagickRealType)
+ stretch_map[GetPixelChannels(image)*j+i]=(double)
QuantumRange;
else
if (black[i] != white[i])
- stretch_map[GetPixelChannels(image)*j+i]=(MagickRealType)
- ScaleMapToQuantum((MagickRealType) (MaxMap*(j-black[i])/
+ stretch_map[GetPixelChannels(image)*j+i]=(double)
+ ScaleMapToQuantum((double) (MaxMap*(j-black[i])/
(white[i]-black[i])));
}
}
/*
Stretch-contrast colormap.
*/
-#if defined(MAGICKCORE_OPENMP_SUPPORT)
- #pragma omp parallel for schedule(static,4) shared(progress,status) \
- dynamic_number_threads(image,image->columns,1,1)
-#endif
for (j=0; j < (ssize_t) image->colors; j++)
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
{
- i=GetPixelChannelMapChannel(image,RedPixelChannel);
+ i=GetPixelChannelChannel(image,RedPixelChannel);
if (black[i] != white[i])
image->colormap[j].red=stretch_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].red))]+i;
}
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
{
- i=GetPixelChannelMapChannel(image,GreenPixelChannel);
+ i=GetPixelChannelChannel(image,GreenPixelChannel);
if (black[i] != white[i])
image->colormap[j].green=stretch_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].green))]+i;
}
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
{
- i=GetPixelChannelMapChannel(image,BluePixelChannel);
+ i=GetPixelChannelChannel(image,BluePixelChannel);
if (black[i] != white[i])
image->colormap[j].blue=stretch_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].blue))]+i;
}
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
{
- i=GetPixelChannelMapChannel(image,AlphaPixelChannel);
+ i=GetPixelChannelChannel(image,AlphaPixelChannel);
if (black[i] != white[i])
image->colormap[j].alpha=stretch_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].alpha))]+i;
PixelTrait
traits;
- channel=GetPixelChannelMapChannel(image,i);
- traits=GetPixelChannelMapTraits(image,channel);
+ channel=GetPixelChannelChannel(image,i);
+ traits=GetPixelChannelTraits(image,channel);
if (((traits & UpdatePixelTrait) == 0) || (black[i] == white[i]))
continue;
q[i]=ClampToQuantum(stretch_map[GetPixelChannels(image)*
MagickExport Image *EnhanceImage(const Image *image,ExceptionInfo *exception)
{
#define EnhancePixel(weight) \
- mean=((MagickRealType) r[i]+GetPixelChannel(enhance_image,channel,q))/2.0; \
- distance=(MagickRealType) r[i]-(MagickRealType) GetPixelChannel( \
+ mean=((double) r[i]+GetPixelChannel(enhance_image,channel,q))/2.0; \
+ distance=(double) r[i]-(double) GetPixelChannel( \
enhance_image,channel,q); \
- distance_squared=QuantumScale*(2.0*((MagickRealType) QuantumRange+1.0)+ \
+ distance_squared=QuantumScale*(2.0*((double) QuantumRange+1.0)+ \
mean)*distance*distance; \
- if (distance_squared < ((MagickRealType) QuantumRange*(MagickRealType) \
+ if (distance_squared < ((double) QuantumRange*(double) \
QuantumRange/25.0f)) \
{ \
aggregate+=(weight)*r[i]; \
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
- MagickRealType
+ double
aggregate,
distance,
distance_squared,
register const Quantum
*restrict r;
- channel=GetPixelChannelMapChannel(image,i);
- traits=GetPixelChannelMapTraits(image,channel);
- enhance_traits=GetPixelChannelMapTraits(enhance_image,channel);
+ channel=GetPixelChannelChannel(image,i);
+ traits=GetPixelChannelTraits(image,channel);
+ enhance_traits=GetPixelChannelTraits(enhance_image,channel);
if ((traits == UndefinedPixelTrait) ||
(enhance_traits == UndefinedPixelTrait))
continue;
MagickOffsetType
progress;
- MagickRealType
+ double
black[CompositePixelChannel],
*equalize_map,
*histogram,
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
- equalize_map=(MagickRealType *) AcquireQuantumMemory(MaxMap+1UL,
+ equalize_map=(double *) AcquireQuantumMemory(MaxMap+1UL,
GetPixelChannels(image)*sizeof(*equalize_map));
- histogram=(MagickRealType *) AcquireQuantumMemory(MaxMap+1UL,
+ histogram=(double *) AcquireQuantumMemory(MaxMap+1UL,
GetPixelChannels(image)*sizeof(*histogram));
- map=(MagickRealType *) AcquireQuantumMemory(MaxMap+1UL,
+ map=(double *) AcquireQuantumMemory(MaxMap+1UL,
GetPixelChannels(image)*sizeof(*map));
- if ((equalize_map == (MagickRealType *) NULL) ||
- (histogram == (MagickRealType *) NULL) ||
- (map == (MagickRealType *) NULL))
+ if ((equalize_map == (double *) NULL) ||
+ (histogram == (double *) NULL) ||
+ (map == (double *) NULL))
{
- if (map != (MagickRealType *) NULL)
- map=(MagickRealType *) RelinquishMagickMemory(map);
- if (histogram != (MagickRealType *) NULL)
- histogram=(MagickRealType *) RelinquishMagickMemory(histogram);
- if (equalize_map != (MagickRealType *) NULL)
- equalize_map=(MagickRealType *) RelinquishMagickMemory(equalize_map);
+ if (map != (double *) NULL)
+ map=(double *) RelinquishMagickMemory(map);
+ if (histogram != (double *) NULL)
+ histogram=(double *) RelinquishMagickMemory(histogram);
+ if (equalize_map != (double *) NULL)
+ equalize_map=(double *) RelinquishMagickMemory(equalize_map);
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
Integrate the histogram to get the equalization map.
*/
number_channels=GetPixelChannels(image);
-#if defined(MAGICKCORE_OPENMP_SUPPORT)
- #pragma omp parallel for schedule(static,4) shared(progress,status) \
- dynamic_number_threads(image,image->columns,1,1)
-#endif
for (i=0; i < (ssize_t) number_channels; i++)
{
- MagickRealType
+ double
intensity;
register ssize_t
(void) ResetMagickMemory(equalize_map,0,(MaxMap+1)*GetPixelChannels(image)*
sizeof(*equalize_map));
number_channels=GetPixelChannels(image);
-#if defined(MAGICKCORE_OPENMP_SUPPORT)
- #pragma omp parallel for schedule(static,4) shared(progress,status) \
- dynamic_number_threads(image,image->columns,1,1)
-#endif
for (i=0; i < (ssize_t) number_channels; i++)
{
register ssize_t
white[i]=map[GetPixelChannels(image)*MaxMap+i];
if (black[i] != white[i])
for (j=0; j <= (ssize_t) MaxMap; j++)
- equalize_map[GetPixelChannels(image)*j+i]=(MagickRealType)
- ScaleMapToQuantum((MagickRealType) ((MaxMap*(map[
+ equalize_map[GetPixelChannels(image)*j+i]=(double)
+ ScaleMapToQuantum((double) ((MaxMap*(map[
GetPixelChannels(image)*j+i]-black[i]))/(white[i]-black[i])));
}
- histogram=(MagickRealType *) RelinquishMagickMemory(histogram);
- map=(MagickRealType *) RelinquishMagickMemory(map);
+ histogram=(double *) RelinquishMagickMemory(histogram);
+ map=(double *) RelinquishMagickMemory(map);
if (image->storage_class == PseudoClass)
{
PixelChannel
/*
Equalize colormap.
*/
-#if defined(MAGICKCORE_OPENMP_SUPPORT)
- #pragma omp parallel for schedule(static,4) shared(progress,status) \
- dynamic_number_threads(image,image->columns,1,1)
-#endif
for (j=0; j < (ssize_t) image->colors; j++)
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
{
- channel=GetPixelChannelMapChannel(image,RedPixelChannel);
+ channel=GetPixelChannelChannel(image,RedPixelChannel);
if (black[channel] != white[channel])
image->colormap[j].red=equalize_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].red))]+
}
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
{
- channel=GetPixelChannelMapChannel(image,GreenPixelChannel);
+ channel=GetPixelChannelChannel(image,GreenPixelChannel);
if (black[channel] != white[channel])
image->colormap[j].green=equalize_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].green))]+
}
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
{
- channel=GetPixelChannelMapChannel(image,BluePixelChannel);
+ channel=GetPixelChannelChannel(image,BluePixelChannel);
if (black[channel] != white[channel])
image->colormap[j].blue=equalize_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].blue))]+
}
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
{
- channel=GetPixelChannelMapChannel(image,AlphaPixelChannel);
+ channel=GetPixelChannelChannel(image,AlphaPixelChannel);
if (black[channel] != white[channel])
image->colormap[j].alpha=equalize_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].alpha))]+
PixelTrait
traits;
- channel=GetPixelChannelMapChannel(image,i);
- traits=GetPixelChannelMapTraits(image,channel);
+ channel=GetPixelChannelChannel(image,i);
+ traits=GetPixelChannelTraits(image,channel);
if (((traits & UpdatePixelTrait) == 0) || (black[i] == white[i]))
continue;
q[i]=ClampToQuantum(equalize_map[GetPixelChannels(image)*
}
}
image_view=DestroyCacheView(image_view);
- equalize_map=(MagickRealType *) RelinquishMagickMemory(equalize_map);
+ equalize_map=(double *) RelinquishMagickMemory(equalize_map);
return(status);
}
\f
image->filename);
(void) ResetMagickMemory(gamma_map,0,(MaxMap+1)*sizeof(*gamma_map));
if (gamma != 0.0)
-#if defined(MAGICKCORE_OPENMP_SUPPORT) && (MaxMap > 256)
- #pragma omp parallel for \
- dynamic_number_threads(image,image->columns,1,1)
-#endif
for (i=0; i <= (ssize_t) MaxMap; i++)
- gamma_map[i]=ScaleMapToQuantum((MagickRealType) (MaxMap*pow((double) i/
+ gamma_map[i]=ScaleMapToQuantum((double) (MaxMap*pow((double) i/
MaxMap,1.0/gamma)));
if (image->storage_class == PseudoClass)
+ for (i=0; i < (ssize_t) image->colors; i++)
{
/*
Gamma-correct colormap.
*/
-#if defined(MAGICKCORE_OPENMP_SUPPORT)
- #pragma omp parallel for schedule(static) shared(progress,status) \
- dynamic_number_threads(image,image->columns,1,1)
-#endif
- for (i=0; i < (ssize_t) image->colors; i++)
- {
- if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
- image->colormap[i].red=(MagickRealType) gamma_map[
- ScaleQuantumToMap(ClampToQuantum(image->colormap[i].red))];
- if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
- image->colormap[i].green=(MagickRealType) gamma_map[
- ScaleQuantumToMap(ClampToQuantum(image->colormap[i].green))];
- if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
- image->colormap[i].blue=(MagickRealType) gamma_map[
- ScaleQuantumToMap(ClampToQuantum(image->colormap[i].blue))];
- if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
- image->colormap[i].alpha=(MagickRealType) gamma_map[
- ScaleQuantumToMap(ClampToQuantum(image->colormap[i].alpha))];
- }
+ if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
+ image->colormap[i].red=(double) gamma_map[
+ ScaleQuantumToMap(ClampToQuantum(image->colormap[i].red))];
+ if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
+ image->colormap[i].green=(double) gamma_map[
+ ScaleQuantumToMap(ClampToQuantum(image->colormap[i].green))];
+ if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
+ image->colormap[i].blue=(double) gamma_map[
+ ScaleQuantumToMap(ClampToQuantum(image->colormap[i].blue))];
+ if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
+ image->colormap[i].alpha=(double) gamma_map[
+ ScaleQuantumToMap(ClampToQuantum(image->colormap[i].alpha))];
}
/*
Gamma-correct image.
PixelTrait
traits;
- channel=GetPixelChannelMapChannel(image,i);
- traits=GetPixelChannelMapTraits(image,channel);
+ channel=GetPixelChannelChannel(image,i);
+ traits=GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[i]=gamma_map[ScaleQuantumToMap(q[i])];
typedef struct _HaldInfo
{
- MagickRealType
+ double
x,
y,
z;
return(MagickFalse);
if (IsGrayColorspace(image->colorspace) != MagickFalse)
(void) TransformImageColorspace(image,RGBColorspace,exception);
- if (image->matte == MagickFalse)
+ if (image->alpha_trait != BlendPixelTrait)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel,exception);
/*
Hald clut image.
(image->colorspace == CMYKColorspace))
SetPixelBlack(image,ClampToQuantum(pixel.black),q);
if (((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0) &&
- (image->matte != MagickFalse))
+ (image->alpha_trait == BlendPixelTrait))
SetPixelAlpha(image,ClampToQuantum(pixel.alpha),q);
q+=GetPixelChannels(image);
}
%
*/
-static inline MagickRealType LevelPixel(const double black_point,
- const double white_point,const double gamma,const MagickRealType pixel)
+static inline double LevelPixel(const double black_point,
+ const double white_point,const double gamma,const double pixel)
{
double
level_pixel,
scale;
scale=(white_point != black_point) ? 1.0/(white_point-black_point) : 1.0;
- level_pixel=(MagickRealType) QuantumRange*pow(scale*((double) pixel-
+ level_pixel=(double) QuantumRange*pow(scale*((double) pixel-
black_point),1.0/gamma);
return(level_pixel);
}
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->storage_class == PseudoClass)
-#if defined(MAGICKCORE_OPENMP_SUPPORT)
- #pragma omp parallel for schedule(static,4) shared(progress,status) \
- dynamic_number_threads(image,image->columns,1,1)
-#endif
for (i=0; i < (ssize_t) image->colors; i++)
{
/*
PixelTrait
traits;
- channel=GetPixelChannelMapChannel(image,i);
- traits=GetPixelChannelMapTraits(image,channel);
+ channel=GetPixelChannelChannel(image,i);
+ traits=GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[i]=ClampToQuantum(LevelPixel(black_point,white_point,gamma,
- (MagickRealType) q[i]));
+ (double) q[i]));
}
q+=GetPixelChannels(image);
}
}
}
image_view=DestroyCacheView(image_view);
+ if (status != MagickFalse)
+ (void) ClampImage(image,exception);
return(status);
}
\f
if (IsGrayColorspace(image->colorspace) != MagickFalse)
(void) SetImageColorspace(image,RGBColorspace,exception);
if (image->storage_class == PseudoClass)
-#if defined(MAGICKCORE_OPENMP_SUPPORT)
- #pragma omp parallel for schedule(static,4) shared(progress,status) \
- dynamic_number_threads(image,image->columns,1,1)
-#endif
for (i=0; i < (ssize_t) image->colors; i++)
{
/*
PixelTrait
traits;
- channel=GetPixelChannelMapChannel(image,i);
- traits=GetPixelChannelMapTraits(image,channel);
+ channel=GetPixelChannelChannel(image,i);
+ traits=GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[i]=LevelizeValue(q[i]);
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
{
- channel_mask=SetPixelChannelMask(image,RedChannel);
+ channel_mask=SetImageChannelMask(image,RedChannel);
status|=LevelImage(image,black_color->red,white_color->red,1.0,
exception);
- (void) SetPixelChannelMask(image,channel_mask);
+ (void) SetImageChannelMask(image,channel_mask);
}
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
{
- channel_mask=SetPixelChannelMask(image,GreenChannel);
+ channel_mask=SetImageChannelMask(image,GreenChannel);
status|=LevelImage(image,black_color->green,white_color->green,1.0,
exception);
- (void) SetPixelChannelMask(image,channel_mask);
+ (void) SetImageChannelMask(image,channel_mask);
}
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
{
- channel_mask=SetPixelChannelMask(image,BlueChannel);
+ channel_mask=SetImageChannelMask(image,BlueChannel);
status|=LevelImage(image,black_color->blue,white_color->blue,1.0,
exception);
- (void) SetPixelChannelMask(image,channel_mask);
+ (void) SetImageChannelMask(image,channel_mask);
}
if (((GetPixelBlackTraits(image) & UpdatePixelTrait) != 0) &&
(image->colorspace == CMYKColorspace))
{
- channel_mask=SetPixelChannelMask(image,BlackChannel);
+ channel_mask=SetImageChannelMask(image,BlackChannel);
status|=LevelImage(image,black_color->black,white_color->black,1.0,
exception);
- (void) SetPixelChannelMask(image,channel_mask);
+ (void) SetImageChannelMask(image,channel_mask);
}
if (((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0) &&
- (image->matte == MagickTrue))
+ (image->alpha_trait == BlendPixelTrait))
{
- channel_mask=SetPixelChannelMask(image,AlphaChannel);
+ channel_mask=SetImageChannelMask(image,AlphaChannel);
status|=LevelImage(image,black_color->alpha,white_color->alpha,1.0,
exception);
- (void) SetPixelChannelMask(image,channel_mask);
+ (void) SetImageChannelMask(image,channel_mask);
}
}
else
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
{
- channel_mask=SetPixelChannelMask(image,RedChannel);
+ channel_mask=SetImageChannelMask(image,RedChannel);
status|=LevelizeImage(image,black_color->red,white_color->red,1.0,
exception);
- (void) SetPixelChannelMask(image,channel_mask);
+ (void) SetImageChannelMask(image,channel_mask);
}
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
{
- channel_mask=SetPixelChannelMask(image,GreenChannel);
+ channel_mask=SetImageChannelMask(image,GreenChannel);
status|=LevelizeImage(image,black_color->green,white_color->green,1.0,
exception);
- (void) SetPixelChannelMask(image,channel_mask);
+ (void) SetImageChannelMask(image,channel_mask);
}
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
{
- channel_mask=SetPixelChannelMask(image,BlueChannel);
+ channel_mask=SetImageChannelMask(image,BlueChannel);
status|=LevelizeImage(image,black_color->blue,white_color->blue,1.0,
exception);
- (void) SetPixelChannelMask(image,channel_mask);
+ (void) SetImageChannelMask(image,channel_mask);
}
if (((GetPixelBlackTraits(image) & UpdatePixelTrait) != 0) &&
(image->colorspace == CMYKColorspace))
{
- channel_mask=SetPixelChannelMask(image,BlackChannel);
+ channel_mask=SetImageChannelMask(image,BlackChannel);
status|=LevelizeImage(image,black_color->black,white_color->black,1.0,
exception);
- (void) SetPixelChannelMask(image,channel_mask);
+ (void) SetImageChannelMask(image,channel_mask);
}
if (((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0) &&
- (image->matte == MagickTrue))
+ (image->alpha_trait == BlendPixelTrait))
{
- channel_mask=SetPixelChannelMask(image,AlphaChannel);
+ channel_mask=SetImageChannelMask(image,AlphaChannel);
status|=LevelizeImage(image,black_color->alpha,white_color->alpha,1.0,
exception);
- (void) SetPixelChannelMask(image,channel_mask);
+ (void) SetImageChannelMask(image,channel_mask);
}
}
return(status == 0 ? MagickFalse : MagickTrue);
MagickBooleanType
status;
- MagickRealType
+ double
*histogram,
intensity;
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
- histogram=(MagickRealType *) AcquireQuantumMemory(MaxMap+1UL,
+ histogram=(double *) AcquireQuantumMemory(MaxMap+1UL,
sizeof(*histogram));
- if (histogram == (MagickRealType *) NULL)
+ if (histogram == (double *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
/*
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
- histogram[ScaleQuantumToMap(GetPixelIntensity(image,p))]++;
+ double
+ intensity;
+
+ intensity=GetPixelIntensity(image,p);
+ histogram[ScaleQuantumToMap(ClampToQuantum(intensity))]++;
p+=GetPixelChannels(image);
}
}
if (intensity >= white_point)
break;
}
- histogram=(MagickRealType *) RelinquishMagickMemory(histogram);
+ histogram=(double *) RelinquishMagickMemory(histogram);
status=LevelImage(image,(double) black,(double) white,1.0,exception);
return(status);
}
% ModulateImage() lets you control the brightness, saturation, and hue
% of an image. Modulate represents the brightness, saturation, and hue
% as one parameter (e.g. 90,150,100). If the image colorspace is HSL, the
-% modulation is lightness, saturation, and hue. And if the colorspace is
-% HWB, use blackness, whiteness, and hue.
+% modulation is lightness, saturation, and hue. For HWB, use blackness,
+% whiteness, and hue. And for HCL, use chrome, luma, and hue.
%
% The format of the ModulateImage method is:
%
%
*/
-static void ModulateHSB(const double percent_hue,
+static inline void ModulateHCL(const double percent_hue,
+ const double percent_chroma,const double percent_luma,double *red,
+ double *green,double *blue)
+{
+ double
+ hue,
+ luma,
+ chroma;
+
+ /*
+ Increase or decrease color luma, chroma, or hue.
+ */
+ ConvertRGBToHCL(*red,*green,*blue,&hue,&chroma,&luma);
+ hue+=0.5*(0.01*percent_hue-1.0);
+ while (hue < 0.0)
+ hue+=1.0;
+ while (hue > 1.0)
+ hue-=1.0;
+ chroma*=0.01*percent_chroma;
+ luma*=0.01*percent_luma;
+ ConvertHCLToRGB(hue,chroma,luma,red,green,blue);
+}
+
+static inline void ModulateHSB(const double percent_hue,
const double percent_saturation,const double percent_brightness,double *red,
double *green,double *blue)
{
/*
Increase or decrease color brightness, saturation, or hue.
*/
- assert(red != (double *) NULL);
- assert(green != (double *) NULL);
- assert(blue != (double *) NULL);
ConvertRGBToHSB(*red,*green,*blue,&hue,&saturation,&brightness);
hue+=0.5*(0.01*percent_hue-1.0);
while (hue < 0.0)
ConvertHSBToRGB(hue,saturation,brightness,red,green,blue);
}
-static void ModulateHSL(const double percent_hue,
+static inline void ModulateHSL(const double percent_hue,
const double percent_saturation,const double percent_lightness,double *red,
double *green,double *blue)
{
/*
Increase or decrease color lightness, saturation, or hue.
*/
- assert(red != (double *) NULL);
- assert(green != (double *) NULL);
- assert(blue != (double *) NULL);
ConvertRGBToHSL(*red,*green,*blue,&hue,&saturation,&lightness);
hue+=0.5*(0.01*percent_hue-1.0);
while (hue < 0.0)
ConvertHSLToRGB(hue,saturation,lightness,red,green,blue);
}
-static void ModulateHWB(const double percent_hue,const double percent_whiteness, const double percent_blackness,double *red,double *green,double *blue)
+static inline void ModulateHWB(const double percent_hue,
+ const double percent_whiteness,const double percent_blackness,double *red,
+ double *green,double *blue)
{
double
blackness,
/*
Increase or decrease color blackness, whiteness, or hue.
*/
- assert(red != (double *) NULL);
- assert(green != (double *) NULL);
- assert(blue != (double *) NULL);
ConvertRGBToHWB(*red,*green,*blue,&hue,&whiteness,&blackness);
hue+=0.5*(0.01*percent_hue-1.0);
while (hue < 0.0)
colorspace=(ColorspaceType) ParseCommandOption(MagickColorspaceOptions,
MagickFalse,artifact);
if (image->storage_class == PseudoClass)
+ for (i=0; i < (ssize_t) image->colors; i++)
{
+ double
+ blue,
+ green,
+ red;
+
/*
Modulate colormap.
*/
-#if defined(MAGICKCORE_OPENMP_SUPPORT)
- #pragma omp parallel for schedule(static,4) shared(progress,status) \
- dynamic_number_threads(image,image->columns,1,1)
-#endif
- for (i=0; i < (ssize_t) image->colors; i++)
+ red=image->colormap[i].red;
+ green=image->colormap[i].green;
+ blue=image->colormap[i].blue;
+ switch (colorspace)
{
- double
- blue,
- green,
- red;
-
- red=image->colormap[i].red;
- green=image->colormap[i].green;
- blue=image->colormap[i].blue;
- switch (colorspace)
+ case HCLColorspace:
{
- case HSBColorspace:
- {
- ModulateHSB(percent_hue,percent_saturation,percent_brightness,
- &red,&green,&blue);
- break;
- }
- case HSLColorspace:
- default:
- {
- ModulateHSL(percent_hue,percent_saturation,percent_brightness,
- &red,&green,&blue);
- break;
- }
- case HWBColorspace:
- {
- ModulateHWB(percent_hue,percent_saturation,percent_brightness,
- &red,&green,&blue);
- break;
- }
+ ModulateHCL(percent_hue,percent_saturation,percent_brightness,
+ &red,&green,&blue);
+ break;
+ }
+ case HSBColorspace:
+ {
+ ModulateHSB(percent_hue,percent_saturation,percent_brightness,
+ &red,&green,&blue);
+ break;
+ }
+ case HSLColorspace:
+ default:
+ {
+ ModulateHSL(percent_hue,percent_saturation,percent_brightness,
+ &red,&green,&blue);
+ break;
+ }
+ case HWBColorspace:
+ {
+ ModulateHWB(percent_hue,percent_saturation,percent_brightness,
+ &red,&green,&blue);
+ break;
}
}
}
blue=(double) GetPixelBlue(image,q);
switch (colorspace)
{
+ case HCLColorspace:
+ {
+ ModulateHCL(percent_hue,percent_saturation,percent_brightness,
+ &red,&green,&blue);
+ break;
+ }
case HSBColorspace:
{
ModulateHSB(percent_hue,percent_saturation,percent_brightness,
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->storage_class == PseudoClass)
+ for (i=0; i < (ssize_t) image->colors; i++)
{
/*
Negate colormap.
*/
-#if defined(MAGICKCORE_OPENMP_SUPPORT)
- #pragma omp parallel for schedule(static) shared(progress,status) \
- dynamic_number_threads(image,image->columns,1,1)
-#endif
- for (i=0; i < (ssize_t) image->colors; i++)
- {
- if (grayscale != MagickFalse)
- if ((image->colormap[i].red != image->colormap[i].green) ||
- (image->colormap[i].green != image->colormap[i].blue))
- continue;
- if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
- image->colormap[i].red=QuantumRange-
- image->colormap[i].red;
- if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
- image->colormap[i].green=QuantumRange-
- image->colormap[i].green;
- if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
- image->colormap[i].blue=QuantumRange-
- image->colormap[i].blue;
- }
+ if (grayscale != MagickFalse)
+ if ((image->colormap[i].red != image->colormap[i].green) ||
+ (image->colormap[i].green != image->colormap[i].blue))
+ continue;
+ if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
+ image->colormap[i].red=QuantumRange-image->colormap[i].red;
+ if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
+ image->colormap[i].green=QuantumRange-image->colormap[i].green;
+ if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
+ image->colormap[i].blue=QuantumRange-image->colormap[i].blue;
}
/*
Negate image.
image_view=AcquireAuthenticCacheView(image,exception);
if (grayscale != MagickFalse)
{
-#if defined(MAGICKCORE_OPENMP_SUPPORT)
- #pragma omp parallel for schedule(static) shared(progress,status) \
- dynamic_number_threads(image,image->columns,image->rows,1)
-#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
PixelTrait
traits;
- channel=GetPixelChannelMapChannel(image,i);
- traits=GetPixelChannelMapTraits(image,channel);
+ channel=GetPixelChannelChannel(image,i);
+ traits=GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[i]=QuantumRange-q[i];
PixelTrait
traits;
- channel=GetPixelChannelMapChannel(image,i);
- traits=GetPixelChannelMapTraits(image,channel);
+ channel=GetPixelChannelChannel(image,i);
+ traits=GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[i]=QuantumRange-q[i];
%
% o sharpen: Increase or decrease image contrast.
%
-% o alpha: strength of the contrast, the larger the number the more
+% o contrast: strength of the contrast, the larger the number the more
% 'threshold-like' it becomes.
%
-% o beta: midpoint of the function as a color value 0 to QuantumRange.
+% o midpoint: midpoint of the function as a color value 0 to QuantumRange.
%
% o exception: return any errors or warnings in this structure.
%
*/
+
+/*
+ Sigmoidal function with inflexion point moved to b and "slope constant" set
+ to a.
+ The first version, based on the hyperbolic tangent tanh, when combined with
+ the scaling step, is an exact arithmetic clone of the the sigmoid function
+ based on the logistic curve. The equivalence is based on the identity
+
+ 1/(1+exp(-t)) = (1+tanh(t/2))/2
+
+ (http://de.wikipedia.org/wiki/Sigmoidfunktion) and the fact that the scaled
+ sigmoidal derivation is invariant under affine transformations of the
+ ordinate.
+ The tanh version is almost certainly more accurate and cheaper.
+ The 0.5 factor in its argument is to clone the legacy ImageMagick behavior.
+ The reason for making the define depend on atanh even though it only uses
+ tanh has to do with the construction of the inverse of the scaled sigmoidal.
+*/
+#if defined(MAGICKCORE_HAVE_ATANH)
+#define Sigmoidal(a,b,x) ( tanh((0.5*(a))*((x)-(b))) )
+#else
+#define Sigmoidal(a,b,x) ( 1.0/(1.0+exp((a)*((b)-(x)))) )
+#endif
+/*
+ Scaled sigmoidal function:
+
+ ( Sigmoidal(a,b,x) - Sigmoidal(a,b,0) ) /
+ ( Sigmoidal(a,b,1) - Sigmoidal(a,b,0) )
+
+ See http://osdir.com/ml/video.image-magick.devel/2005-04/msg00006.html and
+ http://www.cs.dartmouth.edu/farid/downloads/tutorials/fip.pdf. The limit
+ of ScaledSigmoidal as a->0 is the identity, but a=0 gives a division by
+ zero. This is fixed above by exiting immediately when contrast is small,
+ leaving the image (or colormap) unmodified. This appears to be safe because
+ the series expansion of the logistic sigmoidal function around x=b is
+
+ 1/2-a*(b-x)/4+...
+
+ so that the key denominator s(1)-s(0) is about a/4 (a/2 with tanh).
+*/
+#define ScaledSigmoidal(a,b,x) ( \
+ (Sigmoidal((a),(b),(x))-Sigmoidal((a),(b),0.0)) / \
+ (Sigmoidal((a),(b),1.0)-Sigmoidal((a),(b),0.0)) )
+/*
+ Inverse of ScaledSigmoidal, used for +sigmoidal-contrast. Because b
+ may be 0 or 1, the argument of the hyperbolic tangent (resp. logistic
+ sigmoidal) may be outside of the interval (-1,1) (resp. (0,1)), even
+ when creating a LUT from in gamut values, hence the branching. In
+ addition, HDRI may have out of gamut values.
+ InverseScaledSigmoidal is not a two-side inverse of ScaledSigmoidal:
+ It is only a right inverse. This is unavoidable.
+*/
+static inline double InverseScaledSigmoidal(const double a,const double b,
+ const double x)
+{
+ const double sig0=Sigmoidal(a,b,0.0);
+ const double argument=(Sigmoidal(a,b,1.0)-sig0)*x+sig0;
+ const double clamped=
+ (
+#if defined(MAGICKCORE_HAVE_ATANH)
+ argument < -1+MagickEpsilon
+ ?
+ -1+MagickEpsilon
+ :
+ ( argument > 1-MagickEpsilon ? 1-MagickEpsilon : argument )
+ );
+ return(b+(2.0/a)*atanh(clamped));
+#else
+ argument < MagickEpsilon
+ ?
+ MagickEpsilon
+ :
+ ( argument > 1-MagickEpsilon ? 1-MagickEpsilon : argument )
+ );
+ return(b+(-1.0/a)*log(1.0/clamped+-1.0));
+#endif
+}
+
MagickExport MagickBooleanType SigmoidalContrastImage(Image *image,
const MagickBooleanType sharpen,const double contrast,const double midpoint,
ExceptionInfo *exception)
{
#define SigmoidalContrastImageTag "SigmoidalContrast/Image"
+#define ScaledSig(x) ( ClampToQuantum(QuantumRange* \
+ ScaledSigmoidal(contrast,QuantumScale*midpoint,QuantumScale*(x))) )
+#define InverseScaledSig(x) ( ClampToQuantum(QuantumRange* \
+ InverseScaledSigmoidal(contrast,QuantumScale*midpoint,QuantumScale*(x))) )
CacheView
*image_view;
MagickOffsetType
progress;
- MagickRealType
- *sigmoidal_map;
-
- register ssize_t
- i;
-
ssize_t
y;
/*
- Allocate and initialize sigmoidal maps.
+ Convenience macros.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
- sigmoidal_map=(MagickRealType *) AcquireQuantumMemory(MaxMap+1UL,
- sizeof(*sigmoidal_map));
- if (sigmoidal_map == (MagickRealType *) NULL)
- ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
- image->filename);
- (void) ResetMagickMemory(sigmoidal_map,0,(MaxMap+1)*sizeof(*sigmoidal_map));
-#if defined(MAGICKCORE_OPENMP_SUPPORT)
- #pragma omp parallel for schedule(static) shared(progress,status) \
- dynamic_number_threads(image,image->columns,1,1)
-#endif
- for (i=0; i <= (ssize_t) MaxMap; i++)
- {
- if (sharpen != MagickFalse)
- {
-#define sigmoidal(a,b,x) (1/(1+exp((a)*((b)-(x)))))
-#if 0
- /* Simpilified function scaling,
- * with better 'contrast=0' or 'flatline' handling (greyscale)
- */
- double
- u0 = sigmoidal(contrast,QuantumScale*midpoint,0.0),
- u1 = sigmoidal(contrast,QuantumScale*midpoint,1.0);
- sigmoidal_map[i]=(MagickRealType) ScaleMapToQuantum(
- (MagickRealType)(MaxMap*(
- (sigmoidal(contrast,QuantumScale*midpoint,(double)i/MaxMap)
- -(u0+u1)/2.0)/(u1-u0+MagickEpsilon)+0.5) ));
-#else
- /* Scaled sigmoidal formula:
- * (1/(1+exp(a*(b-u))) - 1/(1+exp(a*b)))
- * / (1/(1+exp(a*(b-1))) - 1/(1+exp(a*b)))
- */
- sigmoidal_map[i]=(MagickRealType) ScaleMapToQuantum((MagickRealType)
- (MaxMap*((1.0/(1.0+exp(contrast*(midpoint/(double) QuantumRange-
- (double) i/MaxMap))))-(1.0/(1.0+exp(contrast*(midpoint/
- (double) QuantumRange)))))/((1.0/(1.0+exp(contrast*(midpoint/
- (double) QuantumRange-1.0))))-(1.0/(1.0+exp(contrast*(midpoint/
- (double) QuantumRange)))))+0.5));
-#endif
- continue;
- }
-#if 0
- {
- /* Broken: not the inverse of any of the above variants */
- double
- min = sigmoidal(contrast,1.0,0.0),
- max = sigmoidal(contrast,QuantumScale*midpoint,1.0),
- xi = min+(double)i/MaxMap*(max-min);
- sigmoidal_map[i]=(MagickRealType) ScaleMapToQuantum(
- (MagickRealType)(MaxMap*(
- QuantumScale*midpoint-log((1-xi)/xi)/contrast) ));
- }
-#else
- /* Inverse of the second -sigmoidal-contrast function above
- * and pretty close to being an inverse of the second version
- * (with MagickEpsilon). See
- * http://osdir.com/ml/video.image-magick.devel/2005-04/msg00006.html.
- */
- sigmoidal_map[i]=(MagickRealType) ScaleMapToQuantum((MagickRealType)
- (MaxMap*(QuantumScale*midpoint-log((1.0-(1.0/(1.0+exp(midpoint/
- (double) QuantumRange*contrast))+((double) i/MaxMap)*((1.0/
- (1.0+exp(contrast*(midpoint/(double) QuantumRange-1.0))))-(1.0/
- (1.0+exp(midpoint/(double) QuantumRange*contrast))))))/
- (1.0/(1.0+exp(midpoint/(double) QuantumRange*contrast))+
- ((double) i/MaxMap)*((1.0/(1.0+exp(contrast*(midpoint/
- (double) QuantumRange-1.0))))-(1.0/(1.0+exp(midpoint/
- (double) QuantumRange*contrast))))))/contrast)));
-#endif
- }
+ /*
+ Side effect: may clamp values unless contrast<MagickEpsilon, in which
+ case nothing is done.
+ */
+ if (contrast < MagickEpsilon)
+ return(MagickTrue);
+ /*
+ Sigmoidal-contrast enhance colormap.
+ */
if (image->storage_class == PseudoClass)
{
- /*
- Sigmoidal-contrast enhance colormap.
- */
-#if defined(MAGICKCORE_OPENMP_SUPPORT)
- #pragma omp parallel for schedule(static,4) shared(progress,status) \
- dynamic_number_threads(image,image->columns,1,1)
-#endif
- for (i=0; i < (ssize_t) image->colors; i++)
- {
- if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
- image->colormap[i].red=sigmoidal_map[ScaleQuantumToMap(
- ClampToQuantum(image->colormap[i].red))];
- if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
- image->colormap[i].green=sigmoidal_map[ScaleQuantumToMap(
- ClampToQuantum(image->colormap[i].green))];
- if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
- image->colormap[i].blue=sigmoidal_map[ScaleQuantumToMap(
- ClampToQuantum(image->colormap[i].blue))];
- if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
- image->colormap[i].alpha=sigmoidal_map[ScaleQuantumToMap(
- ClampToQuantum(image->colormap[i].alpha))];
- }
+ register ssize_t
+ i;
+
+ if (sharpen != MagickFalse)
+ for (i=0; i < (ssize_t) image->colors; i++)
+ {
+ if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
+ image->colormap[i].red=ScaledSig(image->colormap[i].red);
+ if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
+ image->colormap[i].green=ScaledSig(image->colormap[i].green);
+ if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
+ image->colormap[i].blue=ScaledSig(image->colormap[i].blue);
+ if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
+ image->colormap[i].alpha=ScaledSig(image->colormap[i].alpha);
+ }
+ else
+ for (i=0; i < (ssize_t) image->colors; i++)
+ {
+ if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
+ image->colormap[i].red=InverseScaledSig(image->colormap[i].red);
+ if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
+ image->colormap[i].green=InverseScaledSig(image->colormap[i].green);
+ if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
+ image->colormap[i].blue=InverseScaledSig(image->colormap[i].blue);
+ if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
+ image->colormap[i].alpha=InverseScaledSig(image->colormap[i].alpha);
+ }
}
/*
Sigmoidal-contrast enhance image.
PixelTrait
traits;
- channel=GetPixelChannelMapChannel(image,i);
- traits=GetPixelChannelMapTraits(image,channel);
+ channel=GetPixelChannelChannel(image,i);
+ traits=GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
- q[i]=ClampToQuantum(sigmoidal_map[ScaleQuantumToMap(q[i])]);
+ if (sharpen != MagickFalse)
+ q[i]=ScaledSig(q[i]);
+ else
+ q[i]=InverseScaledSig(q[i]);
}
q+=GetPixelChannels(image);
}
}
}
image_view=DestroyCacheView(image_view);
- sigmoidal_map=(MagickRealType *) RelinquishMagickMemory(sigmoidal_map);
return(status);
}
projects / imagemagick / blobdiff