/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e D e p t h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageDepth() sets the depth of the image.
%
% The format of the SetImageDepth method is:
%
% MagickBooleanType SetImageDepth(Image *image,const size_t depth,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o depth: the image depth.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SetImageDepth(Image *image,
const size_t depth,ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
QuantumAny
range;
ssize_t
y;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickSignature);
if (depth >= MAGICKCORE_QUANTUM_DEPTH)
{
image->depth=depth;
return(MagickTrue);
}
range=GetQuantumRange(depth);
if (image->storage_class == PseudoClass)
{
register ssize_t
i;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,1,1)
#endif
for (i=0; i < (ssize_t) image->colors; i++)
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].red=(double) ScaleAnyToQuantum(ScaleQuantumToAny(
ClampToQuantum(image->colormap[i].red),range),range);
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].green=(double) ScaleAnyToQuantum(ScaleQuantumToAny(
ClampToQuantum(image->colormap[i].green),range),range);
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].blue=(double) ScaleAnyToQuantum(ScaleQuantumToAny(
ClampToQuantum(image->colormap[i].blue),range),range);
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].alpha=(double) ScaleAnyToQuantum(ScaleQuantumToAny(
ClampToQuantum(image->colormap[i].alpha),range),range);
}
}
status=MagickTrue;
image_view=AcquireAuthenticCacheView(image,exception);
#if !defined(MAGICKCORE_HDRI_SUPPORT)
if (QuantumRange <= MaxMap)
{
Quantum
*depth_map;
register ssize_t
i;
/*
Scale pixels to desired (optimized with depth map).
*/
depth_map=(Quantum *) AcquireQuantumMemory(MaxMap+1,sizeof(*depth_map));
if (depth_map == (Quantum *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
for (i=0; i <= (ssize_t) MaxMap; i++)
depth_map[i]=ScaleAnyToQuantum(ScaleQuantumToAny((Quantum) i,range),
range);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register ssize_t
x;
register Quantum
*restrict q;
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++)
{
register ssize_t
i;
if (GetPixelReadMask(image,q) == 0)
{
q+=GetPixelChannels(image);
continue;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel
channel;
PixelTrait
traits;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
if ((traits == UndefinedPixelTrait) ||
(channel == IndexPixelChannel) || (channel == ReadMaskPixelChannel))
continue;
q[i]=depth_map[ScaleQuantumToMap(q[i])];
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
{
status=MagickFalse;
continue;
}
}
image_view=DestroyCacheView(image_view);
depth_map=(Quantum *) RelinquishMagickMemory(depth_map);
if (status != MagickFalse)
image->depth=depth;
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e D e p t h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageDepth() returns the depth of a particular image channel.
%
% The format of the GetImageDepth method is:
%
% size_t GetImageDepth(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.
%
*/
MagickExport size_t GetImageDepth(const Image *image,ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
register ssize_t
id;
size_t
*current_depth,
depth,
number_threads;
ssize_t
y;
/*
Compute image depth.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
current_depth=(size_t *) AcquireQuantumMemory(number_threads,
sizeof(*current_depth));
if (current_depth == (size_t *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
status=MagickTrue;
for (id=0; id < (ssize_t) number_threads; id++)
current_depth[id]=1;
if ((image->storage_class == PseudoClass) && (image->alpha_trait != BlendPixelTrait))
{
register ssize_t
i;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
if ((image->colors) > 256) \
num_threads(GetMagickResourceLimit(ThreadResource))
#endif
for (i=0; i < (ssize_t) image->colors; i++)
{
const int
id = GetOpenMPThreadId();
if (status == MagickFalse)
continue;
while (current_depth[id] < MAGICKCORE_QUANTUM_DEPTH)
{
MagickStatusType
status;
QuantumAny
range;
status=0;
range=GetQuantumRange(current_depth[id]);
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
status|=ClampToQuantum(image->colormap[i].red) !=
ScaleAnyToQuantum(ScaleQuantumToAny(ClampToQuantum(
image->colormap[i].red),range),range);
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
status|=ClampToQuantum(image->colormap[i].green) !=
ScaleAnyToQuantum(ScaleQuantumToAny(ClampToQuantum(
image->colormap[i].green),range),range);
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
status|=ClampToQuantum(image->colormap[i].blue) !=
ScaleAnyToQuantum(ScaleQuantumToAny(ClampToQuantum(
image->colormap[i].blue),range),range);
if (status == 0)
break;
current_depth[id]++;
}
}
depth=current_depth[0];
for (id=1; id < (ssize_t) number_threads; id++)
if (depth < current_depth[id])
depth=current_depth[id];
current_depth=(size_t *) RelinquishMagickMemory(current_depth);
return(depth);
}
image_view=AcquireVirtualCacheView(image,exception);
#if !defined(MAGICKCORE_HDRI_SUPPORT)
if (QuantumRange <= MaxMap)
{
register ssize_t
i;
size_t
*depth_map;
/*
Scale pixels to desired (optimized with depth map).
*/
depth_map=(size_t *) AcquireQuantumMemory(MaxMap+1,sizeof(*depth_map));
if (depth_map == (size_t *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
for (i=0; i <= (ssize_t) MaxMap; i++)
{
unsigned int
depth;
for (depth=1; depth < MAGICKCORE_QUANTUM_DEPTH; depth++)
{
Quantum
pixel;
QuantumAny
range;
range=GetQuantumRange(depth);
pixel=(Quantum) i;
if (pixel == ScaleAnyToQuantum(ScaleQuantumToAny(pixel,range),range))
break;
}
depth_map[i]=depth;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
register const Quantum
*restrict p;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
continue;
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
i;
if (GetPixelReadMask(image,p) == 0)
{
p+=GetPixelChannels(image);
continue;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
if ((traits == UndefinedPixelTrait) ||
(channel == IndexPixelChannel) ||
(channel == ReadMaskPixelChannel) || (channel == MetaPixelChannel))
continue;
if (depth_map[ScaleQuantumToMap(p[i])] > current_depth[id])
current_depth[id]=depth_map[ScaleQuantumToMap(p[i])];
}
p+=GetPixelChannels(image);
}
if (current_depth[id] == MAGICKCORE_QUANTUM_DEPTH)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
depth=current_depth[0];
for (id=1; id < (ssize_t) number_threads; id++)
if (depth < current_depth[id])
depth=current_depth[id];
depth_map=(size_t *) RelinquishMagickMemory(depth_map);
current_depth=(size_t *) RelinquishMagickMemory(current_depth);
return(depth);
}
#endif
/*
Compute pixel depth.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
register const Quantum
*restrict p;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
continue;
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
i;
if (GetPixelReadMask(image,p) == 0)
{
p+=GetPixelChannels(image);
continue;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel
channel;
PixelTrait
traits;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
if ((traits == UndefinedPixelTrait) || (channel == IndexPixelChannel) ||
(channel == ReadMaskPixelChannel))
continue;
while (current_depth[id] < MAGICKCORE_QUANTUM_DEPTH)
{
QuantumAny
range;
range=GetQuantumRange(current_depth[id]);
if (p[i] == ScaleAnyToQuantum(ScaleQuantumToAny(p[i],range),range))
break;
current_depth[id]++;
}
}
p+=GetPixelChannels(image);
}
if (current_depth[id] == MAGICKCORE_QUANTUM_DEPTH)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
depth=current_depth[0];
for (id=1; id < (ssize_t) number_threads; id++)
if (depth < current_depth[id])
depth=current_depth[id];
current_depth=(size_t *) RelinquishMagickMemory(current_depth);
return(depth);
}
/* %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % % % % % % W r i t e J P 2 I m a g e % % % % % % % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % Method WriteJP2Image writes an image in the JPEG 2000 image format. % % JP2 support originally written by Nathan Brown, [email protected] % % The format of the WriteJP2Image method is: % % MagickPassFail WriteJP2Image(const ImageInfo *image_info,Image *image) % % A description of each parameter follows. % % o status: Method WriteJP2Image return MagickTrue if the image is written. % MagickFalse is returned is there is a memory shortage or if the image file % fails to write. % % o image_info: Specifies a pointer to a ImageInfo structure. % % o image: A pointer to an Image structure. % % */ static MagickPassFail WriteJP2Image(const ImageInfo *image_info,Image *image) { char magick[MaxTextExtent], option_keyval[MaxTextExtent], *options = NULL; int format; long y; jas_image_cmptparm_t component_info; jas_image_t *jp2_image; jas_matrix_t *jp2_pixels; jas_stream_t *jp2_stream; register const PixelPacket *p; register int x; unsigned int rate_specified=False, status; int component, number_components; unsigned short *lut; ImageCharacteristics characteristics; /* Open image file. */ assert(image_info != (const ImageInfo *) NULL); assert(image_info->signature == MagickSignature); assert(image != (Image *) NULL); assert(image->signature == MagickSignature); status=OpenBlob(image_info,image,WriteBinaryBlobMode,&image->exception); if (status == False) ThrowWriterException(FileOpenError,UnableToOpenFile,image); /* Ensure that image is in RGB space. */ (void) TransformColorspace(image,RGBColorspace); /* Analyze image to be written. */ if (!GetImageCharacteristics(image,&characteristics, (OptimizeType == image_info->type), &image->exception)) { CloseBlob(image); return MagickFail; } /* Obtain a JP2 stream. */ jp2_stream=JP2StreamManager(image); if (jp2_stream == (jas_stream_t *) NULL) ThrowWriterException(DelegateError,UnableToManageJP2Stream,image); number_components=image->matte ? 4 : 3; if ((image_info->type != TrueColorType) && (characteristics.grayscale)) number_components=1; jp2_image=jas_image_create0(); if (jp2_image == (jas_image_t *) NULL) ThrowWriterException(DelegateError,UnableToCreateImage,image); for (component=0; component < number_components; component++) { (void) memset((void *)&component_info,0,sizeof(jas_image_cmptparm_t)); component_info.tlx=0; /* top left x ordinate */ component_info.tly=0; /* top left y ordinate */ component_info.hstep=1; /* horizontal pixels per step */ component_info.vstep=1; /* vertical pixels per step */ component_info.width=(unsigned int) image->columns; component_info.height=(unsigned int) image->rows; component_info.prec=(unsigned int) Max(2,Min(image->depth,16)); /* bits in range */ component_info.sgnd = false; /* range is signed value? */ if (jas_image_addcmpt(jp2_image, component,&component_info)) { jas_image_destroy(jp2_image); ThrowWriterException(DelegateError,UnableToCreateImageComponent,image); } } /* Allocate and compute LUT. */ { unsigned long i, max_value; double scale_to_component; lut=MagickAllocateArray(unsigned short *,MaxMap+1,sizeof(*lut)); if (lut == (unsigned short *) NULL) { jas_image_destroy(jp2_image); ThrowWriterException(ResourceLimitError,MemoryAllocationFailed,image); } max_value=MaxValueGivenBits(component_info.prec); scale_to_component=max_value/MaxRGBDouble; for(i=0; i <= MaxMap; i++) lut[i]=scale_to_component*i+0.5; } if (number_components == 1) { /* FIXME: If image has an attached ICC profile, then the profile should be transferred and the image colorspace set to JAS_CLRSPC_GENGRAY */ /* sRGB Grayscale */ (void) LogMagickEvent(CoderEvent,GetMagickModule(), "Setting SGRAY colorspace"); jas_image_setclrspc(jp2_image, JAS_CLRSPC_SGRAY); (void) LogMagickEvent(CoderEvent,GetMagickModule(), "Setting GRAY channel to channel 0"); jas_image_setcmpttype(jp2_image,0, JAS_IMAGE_CT_COLOR(JAS_CLRSPC_CHANIND_GRAY_Y)); } else { /* FIXME: If image has an attached ICC profile, then the profile should be transferred and the image colorspace set to JAS_CLRSPC_GENRGB */ /* sRGB */ (void) LogMagickEvent(CoderEvent,GetMagickModule(), "Setting SRGB colorspace"); jas_image_setclrspc(jp2_image, JAS_CLRSPC_SRGB); (void) LogMagickEvent(CoderEvent,GetMagickModule(), "Setting RED channel to channel 0"); jas_image_setcmpttype(jp2_image,0, JAS_IMAGE_CT_COLOR(JAS_CLRSPC_CHANIND_RGB_R)); (void) LogMagickEvent(CoderEvent,GetMagickModule(), "Setting GREEN channel to channel 1"); jas_image_setcmpttype(jp2_image,1, JAS_IMAGE_CT_COLOR(JAS_CLRSPC_CHANIND_RGB_G)); (void) LogMagickEvent(CoderEvent,GetMagickModule(), "Setting BLUE channel to channel 2"); jas_image_setcmpttype(jp2_image,2, JAS_IMAGE_CT_COLOR(JAS_CLRSPC_CHANIND_RGB_B)); if (number_components == 4 ) { (void) LogMagickEvent(CoderEvent,GetMagickModule(), "Setting OPACITY channel to channel 3"); jas_image_setcmpttype(jp2_image,3, JAS_IMAGE_CT_COLOR(JAS_IMAGE_CT_OPACITY)); } } /* Convert to JPEG 2000 pixels. */ jp2_pixels=jas_matrix_create(1,(unsigned int) image->columns); if (jp2_pixels == (jas_matrix_t *) NULL) { MagickFreeMemory(lut); jas_image_destroy(jp2_image); ThrowWriterException(ResourceLimitError,MemoryAllocationFailed,image); } for (y=0; y < (long) image->rows; y++) { p=AcquireImagePixels(image,0,y,image->columns,1,&image->exception); if (p == (const PixelPacket *) NULL) break; if (number_components == 1) { for (x=0; x < (long) image->columns; x++) jas_matrix_setv(jp2_pixels,x,lut[ScaleQuantumToMap(PixelIntensityToQuantum(&p[x]))]); (void) jas_image_writecmpt(jp2_image,0,0,(unsigned int) y, (unsigned int) image->columns,1,jp2_pixels); } else { for (x=0; x < (long) image->columns; x++) jas_matrix_setv(jp2_pixels,x,lut[ScaleQuantumToMap(p[x].red)]); (void) jas_image_writecmpt(jp2_image,0,0,(unsigned int) y, (unsigned int) image->columns,1,jp2_pixels); for (x=0; x < (long) image->columns; x++) jas_matrix_setv(jp2_pixels,x,lut[ScaleQuantumToMap(p[x].green)]); (void) jas_image_writecmpt(jp2_image,1,0,(unsigned int) y, (unsigned int) image->columns,1,jp2_pixels); for (x=0; x < (long) image->columns; x++) jas_matrix_setv(jp2_pixels,x,lut[ScaleQuantumToMap(p[x].blue)]); (void) jas_image_writecmpt(jp2_image,2,0,(unsigned int) y, (unsigned int) image->columns,1,jp2_pixels); if (number_components > 3) for (x=0; x < (long) image->columns; x++) jas_matrix_setv(jp2_pixels,x,lut[ScaleQuantumToMap(MaxRGB-p[x].opacity)]); (void) jas_image_writecmpt(jp2_image,3,0,(unsigned int) y, (unsigned int) image->columns,1,jp2_pixels); } if (image->previous == (Image *) NULL) if (QuantumTick(y,image->rows)) if (!MagickMonitorFormatted(y,image->rows,&image->exception, SaveImageText,image->filename, image->columns,image->rows)) break; } (void) strlcpy(magick,image_info->magick,MaxTextExtent); /* J2C is an alias for JPC but Jasper only supports "JPC". */ if (LocaleCompare(magick,"j2c") == 0) (void) strlcpy(magick,"jpc",sizeof(magick)); LocaleLower(magick); format=jas_image_strtofmt(magick); /* Support passing Jasper options. */ { const char **option_name; static const char *jasper_options[] = { "imgareatlx", "imgareatly", "tilegrdtlx", "tilegrdtly", "tilewidth", "tileheight", "prcwidth", "prcheight", "cblkwidth", "cblkheight", "mode", "ilyrrates", "prg", "nomct", "numrlvls", "sop", "eph", "lazy", "rate", "termall", "segsym", "vcausal", "pterm", "resetprob", "numgbits", NULL }; for (option_name = jasper_options; *option_name != NULL; option_name++) { const char *value; if ((value=AccessDefinition(image_info,"jp2",*option_name)) != NULL) { if(LocaleCompare(*option_name,"rate") == 0) rate_specified=True; FormatString(option_keyval,"%s=%.1024s ",*option_name,value); ConcatenateString(&options,option_keyval); } } } /* Provide an emulation of IJG JPEG "quality" by default. */ if (rate_specified == False) { double rate=1.0; /* A rough approximation to JPEG v1 quality using JPEG-2000. Default "quality" 75 results in a request for 16:1 compression, which results in image sizes approximating that of JPEG v1. */ if ((image_info->quality < 99.5) && (image->rows*image->columns > 2500)) { double header_size, current_size, target_size, d; d=115-image_info->quality; /* Best number is 110-115 */ rate=100.0/(d*d); header_size=550.0; /* Base file size. */ header_size+=(number_components-1)*142; /* Additional components */ /* FIXME: Need to account for any ICC profiles here */ current_size=(double)((image->rows*image->columns*image->depth)/8)* number_components; target_size=(current_size*rate)+header_size; rate=target_size/current_size; } FormatString(option_keyval,"%s=%g ","rate",rate); ConcatenateString(&options,option_keyval); (void) LogMagickEvent(CoderEvent,GetMagickModule(), "Compression rate: %g (%3.2f:1)",rate,1.0/rate); } if (options) (void) LogMagickEvent(CoderEvent,GetMagickModule(), "Jasper options: \"%s\"", options); (void) LogMagickEvent(CoderEvent,GetMagickModule(),"Encoding image"); status=jas_image_encode(jp2_image,jp2_stream,format,options); (void) jas_stream_close(jp2_stream); MagickFreeMemory(options); MagickFreeMemory(lut); jas_matrix_destroy(jp2_pixels); jas_image_destroy(jp2_image); if (status) ThrowWriterException(DelegateError,UnableToEncodeImageFile,image); return(True); }
MagickExport ChannelFeatures *GetImageChannelFeatures(const Image *image,
const size_t distance,ExceptionInfo *exception)
{
typedef struct _ChannelStatistics
{
DoublePixelPacket
direction[4]; /* horizontal, vertical, left and right diagonals */
} ChannelStatistics;
CacheView
*image_view;
ChannelFeatures
*channel_features;
ChannelStatistics
**cooccurrence,
correlation,
*density_x,
*density_xy,
*density_y,
entropy_x,
entropy_xy,
entropy_xy1,
entropy_xy2,
entropy_y,
mean,
**Q,
*sum,
sum_squares,
variance;
LongPixelPacket
gray,
*grays;
MagickBooleanType
status;
register ssize_t
i;
size_t
length;
ssize_t
y;
unsigned int
number_grays;
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if ((image->columns < (distance+1)) || (image->rows < (distance+1)))
return((ChannelFeatures *) NULL);
length=CompositeChannels+1UL;
channel_features=(ChannelFeatures *) AcquireQuantumMemory(length,
sizeof(*channel_features));
if (channel_features == (ChannelFeatures *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
(void) ResetMagickMemory(channel_features,0,length*
sizeof(*channel_features));
/*
Form grays.
*/
grays=(LongPixelPacket *) AcquireQuantumMemory(MaxMap+1UL,sizeof(*grays));
if (grays == (LongPixelPacket *) NULL)
{
channel_features=(ChannelFeatures *) RelinquishMagickMemory(
channel_features);
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return(channel_features);
}
for (i=0; i <= (ssize_t) MaxMap; i++)
{
grays[i].red=(~0U);
grays[i].green=(~0U);
grays[i].blue=(~0U);
grays[i].opacity=(~0U);
grays[i].index=(~0U);
}
status=MagickTrue;
image_view=AcquireCacheView(image);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register const IndexPacket
*restrict indexes;
register const PixelPacket
*restrict p;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
grays[ScaleQuantumToMap(GetPixelRed(p))].red=
ScaleQuantumToMap(GetPixelRed(p));
grays[ScaleQuantumToMap(GetPixelGreen(p))].green=
ScaleQuantumToMap(GetPixelGreen(p));
grays[ScaleQuantumToMap(GetPixelBlue(p))].blue=
ScaleQuantumToMap(GetPixelBlue(p));
if (image->colorspace == CMYKColorspace)
grays[ScaleQuantumToMap(GetPixelIndex(indexes+x))].index=
ScaleQuantumToMap(GetPixelIndex(indexes+x));
if (image->matte != MagickFalse)
grays[ScaleQuantumToMap(GetPixelOpacity(p))].opacity=
ScaleQuantumToMap(GetPixelOpacity(p));
p++;
}
}
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
{
grays=(LongPixelPacket *) RelinquishMagickMemory(grays);
channel_features=(ChannelFeatures *) RelinquishMagickMemory(
channel_features);
return(channel_features);
}
(void) ResetMagickMemory(&gray,0,sizeof(gray));
for (i=0; i <= (ssize_t) MaxMap; i++)
{
if (grays[i].red != ~0U)
grays[(ssize_t) gray.red++].red=grays[i].red;
if (grays[i].green != ~0U)
grays[(ssize_t) gray.green++].green=grays[i].green;
if (grays[i].blue != ~0U)
grays[(ssize_t) gray.blue++].blue=grays[i].blue;
if (image->colorspace == CMYKColorspace)
if (grays[i].index != ~0U)
grays[(ssize_t) gray.index++].index=grays[i].index;
if (image->matte != MagickFalse)
if (grays[i].opacity != ~0U)
grays[(ssize_t) gray.opacity++].opacity=grays[i].opacity;
}
/*
Allocate spatial dependence matrix.
*/
number_grays=gray.red;
if (gray.green > number_grays)
number_grays=gray.green;
if (gray.blue > number_grays)
number_grays=gray.blue;
if (image->colorspace == CMYKColorspace)
if (gray.index > number_grays)
number_grays=gray.index;
if (image->matte != MagickFalse)
if (gray.opacity > number_grays)
number_grays=gray.opacity;
cooccurrence=(ChannelStatistics **) AcquireQuantumMemory(number_grays,
sizeof(*cooccurrence));
density_x=(ChannelStatistics *) AcquireQuantumMemory(2*(number_grays+1),
sizeof(*density_x));
density_xy=(ChannelStatistics *) AcquireQuantumMemory(2*(number_grays+1),
sizeof(*density_xy));
density_y=(ChannelStatistics *) AcquireQuantumMemory(2*(number_grays+1),
sizeof(*density_y));
Q=(ChannelStatistics **) AcquireQuantumMemory(number_grays,sizeof(*Q));
sum=(ChannelStatistics *) AcquireQuantumMemory(number_grays,sizeof(*sum));
if ((cooccurrence == (ChannelStatistics **) NULL) ||
(density_x == (ChannelStatistics *) NULL) ||
(density_xy == (ChannelStatistics *) NULL) ||
(density_y == (ChannelStatistics *) NULL) ||
(Q == (ChannelStatistics **) NULL) ||
(sum == (ChannelStatistics *) NULL))
{
if (Q != (ChannelStatistics **) NULL)
{
for (i=0; i < (ssize_t) number_grays; i++)
Q[i]=(ChannelStatistics *) RelinquishMagickMemory(Q[i]);
Q=(ChannelStatistics **) RelinquishMagickMemory(Q);
}
if (sum != (ChannelStatistics *) NULL)
sum=(ChannelStatistics *) RelinquishMagickMemory(sum);
if (density_y != (ChannelStatistics *) NULL)
density_y=(ChannelStatistics *) RelinquishMagickMemory(density_y);
if (density_xy != (ChannelStatistics *) NULL)
density_xy=(ChannelStatistics *) RelinquishMagickMemory(density_xy);
if (density_x != (ChannelStatistics *) NULL)
density_x=(ChannelStatistics *) RelinquishMagickMemory(density_x);
if (cooccurrence != (ChannelStatistics **) NULL)
{
for (i=0; i < (ssize_t) number_grays; i++)
cooccurrence[i]=(ChannelStatistics *)
RelinquishMagickMemory(cooccurrence[i]);
cooccurrence=(ChannelStatistics **) RelinquishMagickMemory(
cooccurrence);
}
grays=(LongPixelPacket *) RelinquishMagickMemory(grays);
channel_features=(ChannelFeatures *) RelinquishMagickMemory(
channel_features);
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return(channel_features);
}
(void) ResetMagickMemory(&correlation,0,sizeof(correlation));
(void) ResetMagickMemory(density_x,0,2*(number_grays+1)*sizeof(*density_x));
(void) ResetMagickMemory(density_xy,0,2*(number_grays+1)*sizeof(*density_xy));
(void) ResetMagickMemory(density_y,0,2*(number_grays+1)*sizeof(*density_y));
(void) ResetMagickMemory(&mean,0,sizeof(mean));
(void) ResetMagickMemory(sum,0,number_grays*sizeof(*sum));
(void) ResetMagickMemory(&sum_squares,0,sizeof(sum_squares));
(void) ResetMagickMemory(density_xy,0,2*number_grays*sizeof(*density_xy));
(void) ResetMagickMemory(&entropy_x,0,sizeof(entropy_x));
(void) ResetMagickMemory(&entropy_xy,0,sizeof(entropy_xy));
(void) ResetMagickMemory(&entropy_xy1,0,sizeof(entropy_xy1));
(void) ResetMagickMemory(&entropy_xy2,0,sizeof(entropy_xy2));
(void) ResetMagickMemory(&entropy_y,0,sizeof(entropy_y));
(void) ResetMagickMemory(&variance,0,sizeof(variance));
for (i=0; i < (ssize_t) number_grays; i++)
{
cooccurrence[i]=(ChannelStatistics *) AcquireQuantumMemory(number_grays,
sizeof(**cooccurrence));
Q[i]=(ChannelStatistics *) AcquireQuantumMemory(number_grays,sizeof(**Q));
if ((cooccurrence[i] == (ChannelStatistics *) NULL) ||
(Q[i] == (ChannelStatistics *) NULL))
break;
(void) ResetMagickMemory(cooccurrence[i],0,number_grays*
sizeof(**cooccurrence));
(void) ResetMagickMemory(Q[i],0,number_grays*sizeof(**Q));
}
if (i < (ssize_t) number_grays)
{
for (i--; i >= 0; i--)
{
if (Q[i] != (ChannelStatistics *) NULL)
Q[i]=(ChannelStatistics *) RelinquishMagickMemory(Q[i]);
if (cooccurrence[i] != (ChannelStatistics *) NULL)
cooccurrence[i]=(ChannelStatistics *)
RelinquishMagickMemory(cooccurrence[i]);
}
Q=(ChannelStatistics **) RelinquishMagickMemory(Q);
cooccurrence=(ChannelStatistics **) RelinquishMagickMemory(cooccurrence);
sum=(ChannelStatistics *) RelinquishMagickMemory(sum);
density_y=(ChannelStatistics *) RelinquishMagickMemory(density_y);
density_xy=(ChannelStatistics *) RelinquishMagickMemory(density_xy);
density_x=(ChannelStatistics *) RelinquishMagickMemory(density_x);
grays=(LongPixelPacket *) RelinquishMagickMemory(grays);
channel_features=(ChannelFeatures *) RelinquishMagickMemory(
channel_features);
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return(channel_features);
}
/*
Initialize spatial dependence matrix.
*/
status=MagickTrue;
image_view=AcquireCacheView(image);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const IndexPacket
*restrict indexes;
register const PixelPacket
*restrict p;
register ssize_t
x;
ssize_t
i,
offset,
u,
v;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,-(ssize_t) distance,y,image->columns+
2*distance,distance+2,exception);
if (p == (const PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
p+=distance;
indexes+=distance;
for (x=0; x < (ssize_t) image->columns; x++)
{
for (i=0; i < 4; i++)
{
switch (i)
{
case 0:
default:
{
/*
Horizontal adjacency.
*/
offset=(ssize_t) distance;
break;
}
case 1:
{
/*
Vertical adjacency.
*/
offset=(ssize_t) (image->columns+2*distance);
break;
}
case 2:
{
/*
Right diagonal adjacency.
*/
offset=(ssize_t) ((image->columns+2*distance)-distance);
break;
}
case 3:
{
/*
Left diagonal adjacency.
*/
offset=(ssize_t) ((image->columns+2*distance)+distance);
break;
}
}
u=0;
v=0;
while (grays[u].red != ScaleQuantumToMap(GetPixelRed(p)))
u++;
while (grays[v].red != ScaleQuantumToMap(GetPixelRed(p+offset)))
v++;
cooccurrence[u][v].direction[i].red++;
cooccurrence[v][u].direction[i].red++;
u=0;
v=0;
while (grays[u].green != ScaleQuantumToMap(GetPixelGreen(p)))
u++;
while (grays[v].green != ScaleQuantumToMap(GetPixelGreen(p+offset)))
v++;
cooccurrence[u][v].direction[i].green++;
cooccurrence[v][u].direction[i].green++;
u=0;
v=0;
while (grays[u].blue != ScaleQuantumToMap(GetPixelBlue(p)))
u++;
while (grays[v].blue != ScaleQuantumToMap((p+offset)->blue))
v++;
cooccurrence[u][v].direction[i].blue++;
cooccurrence[v][u].direction[i].blue++;
if (image->colorspace == CMYKColorspace)
{
u=0;
v=0;
while (grays[u].index != ScaleQuantumToMap(GetPixelIndex(indexes+x)))
u++;
while (grays[v].index != ScaleQuantumToMap(GetPixelIndex(indexes+x+offset)))
v++;
cooccurrence[u][v].direction[i].index++;
cooccurrence[v][u].direction[i].index++;
}
if (image->matte != MagickFalse)
{
u=0;
v=0;
while (grays[u].opacity != ScaleQuantumToMap(GetPixelOpacity(p)))
u++;
while (grays[v].opacity != ScaleQuantumToMap((p+offset)->opacity))
v++;
cooccurrence[u][v].direction[i].opacity++;
cooccurrence[v][u].direction[i].opacity++;
}
}
p++;
}
}
grays=(LongPixelPacket *) RelinquishMagickMemory(grays);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
{
for (i=0; i < (ssize_t) number_grays; i++)
cooccurrence[i]=(ChannelStatistics *)
RelinquishMagickMemory(cooccurrence[i]);
cooccurrence=(ChannelStatistics **) RelinquishMagickMemory(cooccurrence);
channel_features=(ChannelFeatures *) RelinquishMagickMemory(
channel_features);
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return(channel_features);
}
/*
Normalize spatial dependence matrix.
*/
for (i=0; i < 4; i++)
{
double
normalize;
register ssize_t
y;
switch (i)
{
case 0:
default:
{
/*
Horizontal adjacency.
*/
normalize=2.0*image->rows*(image->columns-distance);
break;
}
case 1:
{
/*
Vertical adjacency.
*/
normalize=2.0*(image->rows-distance)*image->columns;
break;
}
case 2:
{
/*
Right diagonal adjacency.
*/
normalize=2.0*(image->rows-distance)*(image->columns-distance);
break;
}
case 3:
{
/*
Left diagonal adjacency.
*/
normalize=2.0*(image->rows-distance)*(image->columns-distance);
break;
}
}
normalize=1.0/(fabs((double) normalize) <= MagickEpsilon ? 1.0 : normalize);
for (y=0; y < (ssize_t) number_grays; y++)
{
register ssize_t
x;
for (x=0; x < (ssize_t) number_grays; x++)
{
cooccurrence[x][y].direction[i].red*=normalize;
cooccurrence[x][y].direction[i].green*=normalize;
cooccurrence[x][y].direction[i].blue*=normalize;
if (image->colorspace == CMYKColorspace)
cooccurrence[x][y].direction[i].index*=normalize;
if (image->matte != MagickFalse)
cooccurrence[x][y].direction[i].opacity*=normalize;
}
}
}
/*
Compute texture features.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status)
#endif
for (i=0; i < 4; i++)
{
register ssize_t
y;
for (y=0; y < (ssize_t) number_grays; y++)
{
register ssize_t
x;
for (x=0; x < (ssize_t) number_grays; x++)
{
/*
Angular second moment: measure of homogeneity of the image.
*/
channel_features[RedChannel].angular_second_moment[i]+=
cooccurrence[x][y].direction[i].red*
cooccurrence[x][y].direction[i].red;
channel_features[GreenChannel].angular_second_moment[i]+=
cooccurrence[x][y].direction[i].green*
cooccurrence[x][y].direction[i].green;
channel_features[BlueChannel].angular_second_moment[i]+=
cooccurrence[x][y].direction[i].blue*
cooccurrence[x][y].direction[i].blue;
if (image->colorspace == CMYKColorspace)
channel_features[BlackChannel].angular_second_moment[i]+=
cooccurrence[x][y].direction[i].index*
cooccurrence[x][y].direction[i].index;
if (image->matte != MagickFalse)
channel_features[OpacityChannel].angular_second_moment[i]+=
cooccurrence[x][y].direction[i].opacity*
cooccurrence[x][y].direction[i].opacity;
/*
Correlation: measure of linear-dependencies in the image.
*/
sum[y].direction[i].red+=cooccurrence[x][y].direction[i].red;
sum[y].direction[i].green+=cooccurrence[x][y].direction[i].green;
sum[y].direction[i].blue+=cooccurrence[x][y].direction[i].blue;
if (image->colorspace == CMYKColorspace)
sum[y].direction[i].index+=cooccurrence[x][y].direction[i].index;
if (image->matte != MagickFalse)
sum[y].direction[i].opacity+=cooccurrence[x][y].direction[i].opacity;
correlation.direction[i].red+=x*y*cooccurrence[x][y].direction[i].red;
correlation.direction[i].green+=x*y*
cooccurrence[x][y].direction[i].green;
correlation.direction[i].blue+=x*y*
cooccurrence[x][y].direction[i].blue;
if (image->colorspace == CMYKColorspace)
correlation.direction[i].index+=x*y*
cooccurrence[x][y].direction[i].index;
if (image->matte != MagickFalse)
correlation.direction[i].opacity+=x*y*
cooccurrence[x][y].direction[i].opacity;
/*
Inverse Difference Moment.
*/
channel_features[RedChannel].inverse_difference_moment[i]+=
cooccurrence[x][y].direction[i].red/((y-x)*(y-x)+1);
channel_features[GreenChannel].inverse_difference_moment[i]+=
cooccurrence[x][y].direction[i].green/((y-x)*(y-x)+1);
channel_features[BlueChannel].inverse_difference_moment[i]+=
cooccurrence[x][y].direction[i].blue/((y-x)*(y-x)+1);
if (image->colorspace == CMYKColorspace)
channel_features[IndexChannel].inverse_difference_moment[i]+=
cooccurrence[x][y].direction[i].index/((y-x)*(y-x)+1);
if (image->matte != MagickFalse)
channel_features[OpacityChannel].inverse_difference_moment[i]+=
cooccurrence[x][y].direction[i].opacity/((y-x)*(y-x)+1);
/*
Sum average.
*/
density_xy[y+x+2].direction[i].red+=
cooccurrence[x][y].direction[i].red;
density_xy[y+x+2].direction[i].green+=
cooccurrence[x][y].direction[i].green;
density_xy[y+x+2].direction[i].blue+=
cooccurrence[x][y].direction[i].blue;
if (image->colorspace == CMYKColorspace)
density_xy[y+x+2].direction[i].index+=
cooccurrence[x][y].direction[i].index;
if (image->matte != MagickFalse)
density_xy[y+x+2].direction[i].opacity+=
cooccurrence[x][y].direction[i].opacity;
/*
Entropy.
*/
channel_features[RedChannel].entropy[i]-=
cooccurrence[x][y].direction[i].red*
log10(cooccurrence[x][y].direction[i].red+MagickEpsilon);
channel_features[GreenChannel].entropy[i]-=
cooccurrence[x][y].direction[i].green*
log10(cooccurrence[x][y].direction[i].green+MagickEpsilon);
channel_features[BlueChannel].entropy[i]-=
cooccurrence[x][y].direction[i].blue*
log10(cooccurrence[x][y].direction[i].blue+MagickEpsilon);
if (image->colorspace == CMYKColorspace)
channel_features[IndexChannel].entropy[i]-=
cooccurrence[x][y].direction[i].index*
log10(cooccurrence[x][y].direction[i].index+MagickEpsilon);
if (image->matte != MagickFalse)
channel_features[OpacityChannel].entropy[i]-=
cooccurrence[x][y].direction[i].opacity*
log10(cooccurrence[x][y].direction[i].opacity+MagickEpsilon);
/*
Information Measures of Correlation.
*/
density_x[x].direction[i].red+=cooccurrence[x][y].direction[i].red;
density_x[x].direction[i].green+=cooccurrence[x][y].direction[i].green;
density_x[x].direction[i].blue+=cooccurrence[x][y].direction[i].blue;
if (image->colorspace == CMYKColorspace)
density_x[x].direction[i].index+=
cooccurrence[x][y].direction[i].index;
if (image->matte != MagickFalse)
density_x[x].direction[i].opacity+=
cooccurrence[x][y].direction[i].opacity;
density_y[y].direction[i].red+=cooccurrence[x][y].direction[i].red;
density_y[y].direction[i].green+=cooccurrence[x][y].direction[i].green;
density_y[y].direction[i].blue+=cooccurrence[x][y].direction[i].blue;
if (image->colorspace == CMYKColorspace)
density_y[y].direction[i].index+=
cooccurrence[x][y].direction[i].index;
if (image->matte != MagickFalse)
density_y[y].direction[i].opacity+=
cooccurrence[x][y].direction[i].opacity;
}
mean.direction[i].red+=y*sum[y].direction[i].red;
sum_squares.direction[i].red+=y*y*sum[y].direction[i].red;
mean.direction[i].green+=y*sum[y].direction[i].green;
sum_squares.direction[i].green+=y*y*sum[y].direction[i].green;
mean.direction[i].blue+=y*sum[y].direction[i].blue;
sum_squares.direction[i].blue+=y*y*sum[y].direction[i].blue;
if (image->colorspace == CMYKColorspace)
{
mean.direction[i].index+=y*sum[y].direction[i].index;
sum_squares.direction[i].index+=y*y*sum[y].direction[i].index;
}
if (image->matte != MagickFalse)
{
mean.direction[i].opacity+=y*sum[y].direction[i].opacity;
sum_squares.direction[i].opacity+=y*y*sum[y].direction[i].opacity;
}
}
/*
Correlation: measure of linear-dependencies in the image.
*/
channel_features[RedChannel].correlation[i]=
(correlation.direction[i].red-mean.direction[i].red*
mean.direction[i].red)/(sqrt(sum_squares.direction[i].red-
(mean.direction[i].red*mean.direction[i].red))*sqrt(
sum_squares.direction[i].red-(mean.direction[i].red*
mean.direction[i].red)));
channel_features[GreenChannel].correlation[i]=
(correlation.direction[i].green-mean.direction[i].green*
mean.direction[i].green)/(sqrt(sum_squares.direction[i].green-
(mean.direction[i].green*mean.direction[i].green))*sqrt(
sum_squares.direction[i].green-(mean.direction[i].green*
mean.direction[i].green)));
channel_features[BlueChannel].correlation[i]=
(correlation.direction[i].blue-mean.direction[i].blue*
mean.direction[i].blue)/(sqrt(sum_squares.direction[i].blue-
(mean.direction[i].blue*mean.direction[i].blue))*sqrt(
sum_squares.direction[i].blue-(mean.direction[i].blue*
mean.direction[i].blue)));
if (image->colorspace == CMYKColorspace)
channel_features[IndexChannel].correlation[i]=
(correlation.direction[i].index-mean.direction[i].index*
mean.direction[i].index)/(sqrt(sum_squares.direction[i].index-
(mean.direction[i].index*mean.direction[i].index))*sqrt(
sum_squares.direction[i].index-(mean.direction[i].index*
mean.direction[i].index)));
if (image->matte != MagickFalse)
channel_features[OpacityChannel].correlation[i]=
(correlation.direction[i].opacity-mean.direction[i].opacity*
mean.direction[i].opacity)/(sqrt(sum_squares.direction[i].opacity-
(mean.direction[i].opacity*mean.direction[i].opacity))*sqrt(
sum_squares.direction[i].opacity-(mean.direction[i].opacity*
mean.direction[i].opacity)));
}
/*
Compute more texture features.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status)
#endif
for (i=0; i < 4; i++)
{
register ssize_t
x;
for (x=2; x < (ssize_t) (2*number_grays); x++)
{
/*
Sum average.
*/
channel_features[RedChannel].sum_average[i]+=
x*density_xy[x].direction[i].red;
channel_features[GreenChannel].sum_average[i]+=
x*density_xy[x].direction[i].green;
channel_features[BlueChannel].sum_average[i]+=
x*density_xy[x].direction[i].blue;
if (image->colorspace == CMYKColorspace)
channel_features[IndexChannel].sum_average[i]+=
x*density_xy[x].direction[i].index;
if (image->matte != MagickFalse)
channel_features[OpacityChannel].sum_average[i]+=
x*density_xy[x].direction[i].opacity;
/*
Sum entropy.
*/
channel_features[RedChannel].sum_entropy[i]-=
density_xy[x].direction[i].red*
log10(density_xy[x].direction[i].red+MagickEpsilon);
channel_features[GreenChannel].sum_entropy[i]-=
density_xy[x].direction[i].green*
log10(density_xy[x].direction[i].green+MagickEpsilon);
channel_features[BlueChannel].sum_entropy[i]-=
density_xy[x].direction[i].blue*
log10(density_xy[x].direction[i].blue+MagickEpsilon);
if (image->colorspace == CMYKColorspace)
channel_features[IndexChannel].sum_entropy[i]-=
density_xy[x].direction[i].index*
log10(density_xy[x].direction[i].index+MagickEpsilon);
if (image->matte != MagickFalse)
channel_features[OpacityChannel].sum_entropy[i]-=
density_xy[x].direction[i].opacity*
log10(density_xy[x].direction[i].opacity+MagickEpsilon);
/*
Sum variance.
*/
channel_features[RedChannel].sum_variance[i]+=
(x-channel_features[RedChannel].sum_entropy[i])*
(x-channel_features[RedChannel].sum_entropy[i])*
density_xy[x].direction[i].red;
channel_features[GreenChannel].sum_variance[i]+=
(x-channel_features[GreenChannel].sum_entropy[i])*
(x-channel_features[GreenChannel].sum_entropy[i])*
density_xy[x].direction[i].green;
channel_features[BlueChannel].sum_variance[i]+=
(x-channel_features[BlueChannel].sum_entropy[i])*
(x-channel_features[BlueChannel].sum_entropy[i])*
density_xy[x].direction[i].blue;
if (image->colorspace == CMYKColorspace)
channel_features[IndexChannel].sum_variance[i]+=
(x-channel_features[IndexChannel].sum_entropy[i])*
(x-channel_features[IndexChannel].sum_entropy[i])*
density_xy[x].direction[i].index;
if (image->matte != MagickFalse)
channel_features[OpacityChannel].sum_variance[i]+=
(x-channel_features[OpacityChannel].sum_entropy[i])*
(x-channel_features[OpacityChannel].sum_entropy[i])*
density_xy[x].direction[i].opacity;
}
}
/*
Compute more texture features.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status)
#endif
for (i=0; i < 4; i++)
{
register ssize_t
y;
for (y=0; y < (ssize_t) number_grays; y++)
{
register ssize_t
x;
for (x=0; x < (ssize_t) number_grays; x++)
{
/*
Sum of Squares: Variance
*/
variance.direction[i].red+=(y-mean.direction[i].red+1)*
(y-mean.direction[i].red+1)*cooccurrence[x][y].direction[i].red;
variance.direction[i].green+=(y-mean.direction[i].green+1)*
(y-mean.direction[i].green+1)*cooccurrence[x][y].direction[i].green;
variance.direction[i].blue+=(y-mean.direction[i].blue+1)*
(y-mean.direction[i].blue+1)*cooccurrence[x][y].direction[i].blue;
if (image->colorspace == CMYKColorspace)
variance.direction[i].index+=(y-mean.direction[i].index+1)*
(y-mean.direction[i].index+1)*cooccurrence[x][y].direction[i].index;
if (image->matte != MagickFalse)
variance.direction[i].opacity+=(y-mean.direction[i].opacity+1)*
(y-mean.direction[i].opacity+1)*
cooccurrence[x][y].direction[i].opacity;
/*
Sum average / Difference Variance.
*/
density_xy[MagickAbsoluteValue(y-x)].direction[i].red+=
cooccurrence[x][y].direction[i].red;
density_xy[MagickAbsoluteValue(y-x)].direction[i].green+=
cooccurrence[x][y].direction[i].green;
density_xy[MagickAbsoluteValue(y-x)].direction[i].blue+=
cooccurrence[x][y].direction[i].blue;
if (image->colorspace == CMYKColorspace)
density_xy[MagickAbsoluteValue(y-x)].direction[i].index+=
cooccurrence[x][y].direction[i].index;
if (image->matte != MagickFalse)
density_xy[MagickAbsoluteValue(y-x)].direction[i].opacity+=
cooccurrence[x][y].direction[i].opacity;
/*
Information Measures of Correlation.
*/
entropy_xy.direction[i].red-=cooccurrence[x][y].direction[i].red*
log10(cooccurrence[x][y].direction[i].red+MagickEpsilon);
entropy_xy.direction[i].green-=cooccurrence[x][y].direction[i].green*
log10(cooccurrence[x][y].direction[i].green+MagickEpsilon);
entropy_xy.direction[i].blue-=cooccurrence[x][y].direction[i].blue*
log10(cooccurrence[x][y].direction[i].blue+MagickEpsilon);
if (image->colorspace == CMYKColorspace)
entropy_xy.direction[i].index-=cooccurrence[x][y].direction[i].index*
log10(cooccurrence[x][y].direction[i].index+MagickEpsilon);
if (image->matte != MagickFalse)
entropy_xy.direction[i].opacity-=
cooccurrence[x][y].direction[i].opacity*log10(
cooccurrence[x][y].direction[i].opacity+MagickEpsilon);
entropy_xy1.direction[i].red-=(cooccurrence[x][y].direction[i].red*
log10(density_x[x].direction[i].red*density_y[y].direction[i].red+
MagickEpsilon));
entropy_xy1.direction[i].green-=(cooccurrence[x][y].direction[i].green*
log10(density_x[x].direction[i].green*density_y[y].direction[i].green+
MagickEpsilon));
entropy_xy1.direction[i].blue-=(cooccurrence[x][y].direction[i].blue*
log10(density_x[x].direction[i].blue*density_y[y].direction[i].blue+
MagickEpsilon));
if (image->colorspace == CMYKColorspace)
entropy_xy1.direction[i].index-=(
cooccurrence[x][y].direction[i].index*log10(
density_x[x].direction[i].index*density_y[y].direction[i].index+
MagickEpsilon));
if (image->matte != MagickFalse)
entropy_xy1.direction[i].opacity-=(
cooccurrence[x][y].direction[i].opacity*log10(
density_x[x].direction[i].opacity*density_y[y].direction[i].opacity+
MagickEpsilon));
entropy_xy2.direction[i].red-=(density_x[x].direction[i].red*
density_y[y].direction[i].red*log10(density_x[x].direction[i].red*
density_y[y].direction[i].red+MagickEpsilon));
entropy_xy2.direction[i].green-=(density_x[x].direction[i].green*
density_y[y].direction[i].green*log10(density_x[x].direction[i].green*
density_y[y].direction[i].green+MagickEpsilon));
entropy_xy2.direction[i].blue-=(density_x[x].direction[i].blue*
density_y[y].direction[i].blue*log10(density_x[x].direction[i].blue*
density_y[y].direction[i].blue+MagickEpsilon));
if (image->colorspace == CMYKColorspace)
entropy_xy2.direction[i].index-=(density_x[x].direction[i].index*
density_y[y].direction[i].index*log10(
density_x[x].direction[i].index*density_y[y].direction[i].index+
MagickEpsilon));
if (image->matte != MagickFalse)
entropy_xy2.direction[i].opacity-=(density_x[x].direction[i].opacity*
density_y[y].direction[i].opacity*log10(
density_x[x].direction[i].opacity*density_y[y].direction[i].opacity+
MagickEpsilon));
}
}
channel_features[RedChannel].variance_sum_of_squares[i]=
variance.direction[i].red;
channel_features[GreenChannel].variance_sum_of_squares[i]=
variance.direction[i].green;
channel_features[BlueChannel].variance_sum_of_squares[i]=
variance.direction[i].blue;
if (image->colorspace == CMYKColorspace)
channel_features[RedChannel].variance_sum_of_squares[i]=
variance.direction[i].index;
if (image->matte != MagickFalse)
channel_features[RedChannel].variance_sum_of_squares[i]=
variance.direction[i].opacity;
}
/*
Compute more texture features.
*/
(void) ResetMagickMemory(&variance,0,sizeof(variance));
(void) ResetMagickMemory(&sum_squares,0,sizeof(sum_squares));
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status)
#endif
for (i=0; i < 4; i++)
{
register ssize_t
x;
for (x=0; x < (ssize_t) number_grays; x++)
{
/*
Difference variance.
*/
variance.direction[i].red+=density_xy[x].direction[i].red;
variance.direction[i].green+=density_xy[x].direction[i].green;
variance.direction[i].blue+=density_xy[x].direction[i].blue;
if (image->colorspace == CMYKColorspace)
variance.direction[i].index+=density_xy[x].direction[i].index;
if (image->matte != MagickFalse)
variance.direction[i].opacity+=density_xy[x].direction[i].opacity;
sum_squares.direction[i].red+=density_xy[x].direction[i].red*
density_xy[x].direction[i].red;
sum_squares.direction[i].green+=density_xy[x].direction[i].green*
density_xy[x].direction[i].green;
sum_squares.direction[i].blue+=density_xy[x].direction[i].blue*
density_xy[x].direction[i].blue;
if (image->colorspace == CMYKColorspace)
sum_squares.direction[i].index+=density_xy[x].direction[i].index*
density_xy[x].direction[i].index;
if (image->matte != MagickFalse)
sum_squares.direction[i].opacity+=density_xy[x].direction[i].opacity*
density_xy[x].direction[i].opacity;
/*
Difference entropy.
*/
channel_features[RedChannel].difference_entropy[i]-=
density_xy[x].direction[i].red*
log10(density_xy[x].direction[i].red+MagickEpsilon);
channel_features[GreenChannel].difference_entropy[i]-=
density_xy[x].direction[i].green*
log10(density_xy[x].direction[i].green+MagickEpsilon);
channel_features[BlueChannel].difference_entropy[i]-=
density_xy[x].direction[i].blue*
log10(density_xy[x].direction[i].blue+MagickEpsilon);
if (image->colorspace == CMYKColorspace)
channel_features[IndexChannel].difference_entropy[i]-=
density_xy[x].direction[i].index*
log10(density_xy[x].direction[i].index+MagickEpsilon);
if (image->matte != MagickFalse)
channel_features[OpacityChannel].difference_entropy[i]-=
density_xy[x].direction[i].opacity*
log10(density_xy[x].direction[i].opacity+MagickEpsilon);
/*
Information Measures of Correlation.
*/
entropy_x.direction[i].red-=(density_x[x].direction[i].red*
log10(density_x[x].direction[i].red+MagickEpsilon));
entropy_x.direction[i].green-=(density_x[x].direction[i].green*
log10(density_x[x].direction[i].green+MagickEpsilon));
entropy_x.direction[i].blue-=(density_x[x].direction[i].blue*
log10(density_x[x].direction[i].blue+MagickEpsilon));
if (image->colorspace == CMYKColorspace)
entropy_x.direction[i].index-=(density_x[x].direction[i].index*
log10(density_x[x].direction[i].index+MagickEpsilon));
if (image->matte != MagickFalse)
entropy_x.direction[i].opacity-=(density_x[x].direction[i].opacity*
log10(density_x[x].direction[i].opacity+MagickEpsilon));
entropy_y.direction[i].red-=(density_y[x].direction[i].red*
log10(density_y[x].direction[i].red+MagickEpsilon));
entropy_y.direction[i].green-=(density_y[x].direction[i].green*
log10(density_y[x].direction[i].green+MagickEpsilon));
entropy_y.direction[i].blue-=(density_y[x].direction[i].blue*
log10(density_y[x].direction[i].blue+MagickEpsilon));
if (image->colorspace == CMYKColorspace)
entropy_y.direction[i].index-=(density_y[x].direction[i].index*
log10(density_y[x].direction[i].index+MagickEpsilon));
if (image->matte != MagickFalse)
entropy_y.direction[i].opacity-=(density_y[x].direction[i].opacity*
log10(density_y[x].direction[i].opacity+MagickEpsilon));
}
/*
Difference variance.
*/
channel_features[RedChannel].difference_variance[i]=
(((double) number_grays*number_grays*sum_squares.direction[i].red)-
(variance.direction[i].red*variance.direction[i].red))/
((double) number_grays*number_grays*number_grays*number_grays);
channel_features[GreenChannel].difference_variance[i]=
(((double) number_grays*number_grays*sum_squares.direction[i].green)-
(variance.direction[i].green*variance.direction[i].green))/
((double) number_grays*number_grays*number_grays*number_grays);
channel_features[BlueChannel].difference_variance[i]=
(((double) number_grays*number_grays*sum_squares.direction[i].blue)-
(variance.direction[i].blue*variance.direction[i].blue))/
((double) number_grays*number_grays*number_grays*number_grays);
if (image->matte != MagickFalse)
channel_features[OpacityChannel].difference_variance[i]=
(((double) number_grays*number_grays*sum_squares.direction[i].opacity)-
(variance.direction[i].opacity*variance.direction[i].opacity))/
((double) number_grays*number_grays*number_grays*number_grays);
if (image->colorspace == CMYKColorspace)
channel_features[IndexChannel].difference_variance[i]=
(((double) number_grays*number_grays*sum_squares.direction[i].index)-
(variance.direction[i].index*variance.direction[i].index))/
((double) number_grays*number_grays*number_grays*number_grays);
/*
Information Measures of Correlation.
*/
channel_features[RedChannel].measure_of_correlation_1[i]=
(entropy_xy.direction[i].red-entropy_xy1.direction[i].red)/
(entropy_x.direction[i].red > entropy_y.direction[i].red ?
entropy_x.direction[i].red : entropy_y.direction[i].red);
channel_features[GreenChannel].measure_of_correlation_1[i]=
(entropy_xy.direction[i].green-entropy_xy1.direction[i].green)/
(entropy_x.direction[i].green > entropy_y.direction[i].green ?
entropy_x.direction[i].green : entropy_y.direction[i].green);
channel_features[BlueChannel].measure_of_correlation_1[i]=
(entropy_xy.direction[i].blue-entropy_xy1.direction[i].blue)/
(entropy_x.direction[i].blue > entropy_y.direction[i].blue ?
entropy_x.direction[i].blue : entropy_y.direction[i].blue);
if (image->colorspace == CMYKColorspace)
channel_features[IndexChannel].measure_of_correlation_1[i]=
(entropy_xy.direction[i].index-entropy_xy1.direction[i].index)/
(entropy_x.direction[i].index > entropy_y.direction[i].index ?
entropy_x.direction[i].index : entropy_y.direction[i].index);
if (image->matte != MagickFalse)
channel_features[OpacityChannel].measure_of_correlation_1[i]=
(entropy_xy.direction[i].opacity-entropy_xy1.direction[i].opacity)/
(entropy_x.direction[i].opacity > entropy_y.direction[i].opacity ?
entropy_x.direction[i].opacity : entropy_y.direction[i].opacity);
channel_features[RedChannel].measure_of_correlation_2[i]=
(sqrt(fabs(1.0-exp(-2.0*(entropy_xy2.direction[i].red-
entropy_xy.direction[i].red)))));
channel_features[GreenChannel].measure_of_correlation_2[i]=
(sqrt(fabs(1.0-exp(-2.0*(entropy_xy2.direction[i].green-
entropy_xy.direction[i].green)))));
channel_features[BlueChannel].measure_of_correlation_2[i]=
(sqrt(fabs(1.0-exp(-2.0*(entropy_xy2.direction[i].blue-
entropy_xy.direction[i].blue)))));
if (image->colorspace == CMYKColorspace)
channel_features[IndexChannel].measure_of_correlation_2[i]=
(sqrt(fabs(1.0-exp(-2.0*(entropy_xy2.direction[i].index-
entropy_xy.direction[i].index)))));
if (image->matte != MagickFalse)
channel_features[OpacityChannel].measure_of_correlation_2[i]=
(sqrt(fabs(1.0-exp(-2.0*(entropy_xy2.direction[i].opacity-
entropy_xy.direction[i].opacity)))));
}
/*
Compute more texture features.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status)
#endif
for (i=0; i < 4; i++)
{
register ssize_t
z;
for (z=0; z < (ssize_t) number_grays; z++)
{
register ssize_t
y;
ChannelStatistics
pixel;
(void) ResetMagickMemory(&pixel,0,sizeof(pixel));
for (y=0; y < (ssize_t) number_grays; y++)
{
register ssize_t
x;
for (x=0; x < (ssize_t) number_grays; x++)
{
/*
Contrast: amount of local variations present in an image.
*/
if (((y-x) == z) || ((x-y) == z))
{
pixel.direction[i].red+=cooccurrence[x][y].direction[i].red;
pixel.direction[i].green+=cooccurrence[x][y].direction[i].green;
pixel.direction[i].blue+=cooccurrence[x][y].direction[i].blue;
if (image->colorspace == CMYKColorspace)
pixel.direction[i].index+=cooccurrence[x][y].direction[i].index;
if (image->matte != MagickFalse)
pixel.direction[i].opacity+=
cooccurrence[x][y].direction[i].opacity;
}
/*
Maximum Correlation Coefficient.
*/
Q[z][y].direction[i].red+=cooccurrence[z][x].direction[i].red*
cooccurrence[y][x].direction[i].red/density_x[z].direction[i].red/
density_y[x].direction[i].red;
Q[z][y].direction[i].green+=cooccurrence[z][x].direction[i].green*
cooccurrence[y][x].direction[i].green/
density_x[z].direction[i].green/density_y[x].direction[i].red;
Q[z][y].direction[i].blue+=cooccurrence[z][x].direction[i].blue*
cooccurrence[y][x].direction[i].blue/density_x[z].direction[i].blue/
density_y[x].direction[i].blue;
if (image->colorspace == CMYKColorspace)
Q[z][y].direction[i].index+=cooccurrence[z][x].direction[i].index*
cooccurrence[y][x].direction[i].index/
density_x[z].direction[i].index/density_y[x].direction[i].index;
if (image->matte != MagickFalse)
Q[z][y].direction[i].opacity+=
cooccurrence[z][x].direction[i].opacity*
cooccurrence[y][x].direction[i].opacity/
density_x[z].direction[i].opacity/
density_y[x].direction[i].opacity;
}
}
channel_features[RedChannel].contrast[i]+=z*z*pixel.direction[i].red;
channel_features[GreenChannel].contrast[i]+=z*z*pixel.direction[i].green;
channel_features[BlueChannel].contrast[i]+=z*z*pixel.direction[i].blue;
if (image->colorspace == CMYKColorspace)
channel_features[BlackChannel].contrast[i]+=z*z*
pixel.direction[i].index;
if (image->matte != MagickFalse)
channel_features[OpacityChannel].contrast[i]+=z*z*
pixel.direction[i].opacity;
}
/*
Maximum Correlation Coefficient.
Future: return second largest eigenvalue of Q.
*/
channel_features[RedChannel].maximum_correlation_coefficient[i]=
sqrt((double) -1.0);
channel_features[GreenChannel].maximum_correlation_coefficient[i]=
sqrt((double) -1.0);
channel_features[BlueChannel].maximum_correlation_coefficient[i]=
sqrt((double) -1.0);
if (image->colorspace == CMYKColorspace)
channel_features[IndexChannel].maximum_correlation_coefficient[i]=
sqrt((double) -1.0);
if (image->matte != MagickFalse)
channel_features[OpacityChannel].maximum_correlation_coefficient[i]=
sqrt((double) -1.0);
}
/*
Relinquish resources.
*/
sum=(ChannelStatistics *) RelinquishMagickMemory(sum);
for (i=0; i < (ssize_t) number_grays; i++)
Q[i]=(ChannelStatistics *) RelinquishMagickMemory(Q[i]);
Q=(ChannelStatistics **) RelinquishMagickMemory(Q);
density_y=(ChannelStatistics *) RelinquishMagickMemory(density_y);
density_xy=(ChannelStatistics *) RelinquishMagickMemory(density_xy);
density_x=(ChannelStatistics *) RelinquishMagickMemory(density_x);
for (i=0; i < (ssize_t) number_grays; i++)
cooccurrence[i]=(ChannelStatistics *)
RelinquishMagickMemory(cooccurrence[i]);
cooccurrence=(ChannelStatistics **) RelinquishMagickMemory(cooccurrence);
return(channel_features);
}
/* %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % % % % % % W r i t e J P 2 I m a g e % % % % % % % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % WriteJP2Image() writes an image in the JPEG 2000 image format. % % JP2 support originally written by Nathan Brown, [email protected] % % The format of the WriteJP2Image method is: % % MagickBooleanType WriteJP2Image(const ImageInfo *image_info,Image *image) % % A description of each parameter follows. % % o image_info: the image info. % % o image: The image. % */ static MagickBooleanType WriteJP2Image(const ImageInfo *image_info,Image *image) { char *key, magick[MaxTextExtent], *options; const char *option; long format, y; jas_image_cmptparm_t component_info[4]; jas_image_t *jp2_image; jas_matrix_t *pixels[4]; jas_stream_t *jp2_stream; MagickBooleanType status; QuantumAny range; register const PixelPacket *p; register long i, x; unsigned short *map; unsigned long number_components; /* Open image file. */ assert(image_info != (const ImageInfo *) NULL); assert(image_info->signature == MagickSignature); assert(image != (Image *) NULL); assert(image->signature == MagickSignature); if (image->debug != MagickFalse) (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename); status=OpenBlob(image_info,image,WriteBinaryBlobMode,&image->exception); if (status == MagickFalse) return(status); /* Intialize JPEG 2000 API. */ if (image->colorspace != RGBColorspace) (void) TransformImageColorspace(image,RGBColorspace); jp2_stream=JP2StreamManager(image); if (jp2_stream == (jas_stream_t *) NULL) ThrowWriterException(DelegateError,"UnableToManageJP2Stream"); number_components=image->matte ? 4UL : 3UL; if ((image_info->type != TrueColorType) && IsGrayImage(image,&image->exception)) number_components=1; if ((image->columns != (unsigned int) image->columns) || (image->rows != (unsigned int) image->rows)) ThrowWriterException(ImageError,"WidthOrHeightExceedsLimit"); (void) ResetMagickMemory(&component_info,0,sizeof(component_info)); for (i=0; i < (long) number_components; i++) { component_info[i].tlx=0; component_info[i].tly=0; component_info[i].hstep=1; component_info[i].vstep=1; component_info[i].width=(unsigned int) image->columns; component_info[i].height=(unsigned int) image->rows; component_info[i].prec=(int) MagickMax(MagickMin(image->depth,16),2); component_info[i].sgnd=MagickFalse; } jp2_image=jas_image_create((int) number_components,component_info, JAS_CLRSPC_UNKNOWN); if (jp2_image == (jas_image_t *) NULL) ThrowWriterException(DelegateError,"UnableToCreateImage"); if (number_components == 1) { /* sRGB Grayscale. */ jas_image_setclrspc(jp2_image,JAS_CLRSPC_SGRAY); jas_image_setcmpttype(jp2_image,0, JAS_IMAGE_CT_COLOR(JAS_CLRSPC_CHANIND_GRAY_Y)); } else { /* sRGB. */ jas_image_setclrspc(jp2_image,JAS_CLRSPC_SRGB); jas_image_setcmpttype(jp2_image,0, JAS_IMAGE_CT_COLOR(JAS_CLRSPC_CHANIND_RGB_R)); jas_image_setcmpttype(jp2_image,1, JAS_IMAGE_CT_COLOR(JAS_CLRSPC_CHANIND_RGB_G)); jas_image_setcmpttype(jp2_image,2, JAS_IMAGE_CT_COLOR(JAS_CLRSPC_CHANIND_RGB_B)); if (number_components == 4) jas_image_setcmpttype(jp2_image,3,JAS_IMAGE_CT_OPACITY); } /* Convert to JPEG 2000 pixels. */ for (i=0; i < (long) number_components; i++) { pixels[i]=jas_matrix_create(1,(int) image->columns); if (pixels[i] == (jas_matrix_t *) NULL) { for (x=0; x < i; x++) jas_matrix_destroy(pixels[x]); jas_image_destroy(jp2_image); ThrowWriterException(ResourceLimitError,"MemoryAllocationFailed"); } } range=GetQuantumRange((unsigned long) component_info[0].prec); map=(unsigned short *) AcquireQuantumMemory(MaxMap+1,sizeof(*map)); for (i=0; i <= (long) MaxMap; i++) map[i]=(unsigned short) ScaleQuantumToMap((Quantum) ScaleQuantumToAny((Quantum) i,range)); if (map == (unsigned short *) NULL) { for (i=0; i < (long) number_components; i++) jas_matrix_destroy(pixels[i]); jas_image_destroy(jp2_image); ThrowWriterException(ResourceLimitError,"MemoryAllocationFailed"); } for (y=0; y < (long) image->rows; y++) { p=GetVirtualPixels(image,0,y,image->columns,1,&image->exception); if (p == (const PixelPacket *) NULL) break; for (x=0; x < (long) image->columns; x++) { if (number_components == 1) jas_matrix_setv(pixels[0],x,map[ScaleQuantumToMap( PixelIntensityToQuantum(p))]); else { jas_matrix_setv(pixels[0],x,map[ScaleQuantumToMap(p->red)]); jas_matrix_setv(pixels[1],x,map[ScaleQuantumToMap(p->green)]); jas_matrix_setv(pixels[2],x,map[ScaleQuantumToMap(p->blue)]); if (number_components > 3) jas_matrix_setv(pixels[3],x,map[ScaleQuantumToMap((Quantum) (QuantumRange-p->opacity))]); } p++; } for (i=0; i < (long) number_components; i++) (void) jas_image_writecmpt(jp2_image,(short) i,0,(unsigned int) y, (unsigned int) image->columns,1,pixels[i]); status=SetImageProgress(image,SaveImageTag,y,image->rows); if (status == MagickFalse) break; } map=(unsigned short *) RelinquishMagickMemory(map); (void) CopyMagickString(magick,image_info->magick,MaxTextExtent); LocaleLower(magick); format=jas_image_strtofmt(magick); options=(char *) NULL; ResetImageOptionIterator(image_info); key=GetNextImageOption(image_info); while (key != (char *) NULL) { option=GetImageOption(image_info,key); if (option != (const char *) NULL) { if (LocaleNCompare(key,"jp2:",4) == 0) { (void) ConcatenateString(&options,key+4); if (*option != '\0') { (void) ConcatenateString(&options,"="); (void) ConcatenateString(&options,option); } (void) ConcatenateString(&options," "); } } key=GetNextImageOption(image_info); } option=GetImageOption(image_info,"jp2:rate"); if ((option == (const char *) NULL) && (image_info->compression != LosslessJPEGCompression) && (image->quality != UndefinedCompressionQuality) && ((double) image->quality <= 99.5) && ((image->rows*image->columns) > 2500)) { char option[MaxTextExtent]; double alpha, header_size, number_pixels, rate, target_size; alpha=115.0-image->quality; rate=100.0/(alpha*alpha); header_size=550.0; header_size+=(number_components-1)*142; number_pixels=(double) image->rows*image->columns*number_components* (GetImageQuantumDepth(image,MagickTrue)/8); target_size=(number_pixels*rate)+header_size; rate=target_size/number_pixels; (void) FormatMagickString(option,MaxTextExtent,"rate=%g",rate); (void) ConcatenateString(&options,option); } status=jas_image_encode(jp2_image,jp2_stream,format,options) != 0 ? MagickTrue : MagickFalse; (void) jas_stream_close(jp2_stream); for (i=0; i < (long) number_components; i++) jas_matrix_destroy(pixels[i]); jas_image_destroy(jp2_image); if (status != MagickFalse) ThrowWriterException(DelegateError,"UnableToEncodeImageFile"); return(MagickTrue); }
static Image *ReadJP2Image(const ImageInfo *image_info,ExceptionInfo *exception)
{
Image
*image;
jas_cmprof_t
*cm_profile;
jas_iccprof_t
*icc_profile;
jas_image_t
*jp2_image;
jas_matrix_t
*pixels[4];
jas_stream_t
*jp2_stream;
long
components[4],
y;
MagickBooleanType
status;
QuantumAny
pixel,
*map[4],
range;
register long
i,
x;
register PixelPacket
*q;
unsigned long
maximum_component_depth,
number_components,
x_step[4],
y_step[4];
/*
Open image file.
*/
assert(image_info != (const ImageInfo *) NULL);
assert(image_info->signature == MagickSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
image=AcquireImage(image_info);
status=OpenBlob(image_info,image,ReadBinaryBlobMode,exception);
if (status == MagickFalse)
{
image=DestroyImageList(image);
return((Image *) NULL);
}
/*
Initialize JPEG 2000 API.
*/
jp2_stream=JP2StreamManager(image);
if (jp2_stream == (jas_stream_t *) NULL)
ThrowReaderException(DelegateError,"UnableToManageJP2Stream");
jp2_image=jas_image_decode(jp2_stream,-1,0);
if (jp2_image == (jas_image_t *) NULL)
{
(void) jas_stream_close(jp2_stream);
ThrowReaderException(DelegateError,"UnableToDecodeImageFile");
}
switch (jas_clrspc_fam(jas_image_clrspc(jp2_image)))
{
case JAS_CLRSPC_FAM_RGB:
{
components[0]=jas_image_getcmptbytype(jp2_image,JAS_IMAGE_CT_RGB_R);
components[1]=jas_image_getcmptbytype(jp2_image,JAS_IMAGE_CT_RGB_G);
components[2]=jas_image_getcmptbytype(jp2_image,JAS_IMAGE_CT_RGB_B);
if ((components[0] < 0) || (components[1] < 0) || (components[2] < 0))
{
(void) jas_stream_close(jp2_stream);
jas_image_destroy(jp2_image);
ThrowReaderException(CorruptImageError,"MissingImageChannel");
}
number_components=3;
components[3]=jas_image_getcmptbytype(jp2_image,3);
if (components[3] > 0)
{
image->matte=MagickTrue;
number_components++;
}
break;
}
case JAS_CLRSPC_FAM_GRAY:
{
components[0]=jas_image_getcmptbytype(jp2_image,JAS_IMAGE_CT_GRAY_Y);
if (components[0] < 0)
{
(void) jas_stream_close(jp2_stream);
jas_image_destroy(jp2_image);
ThrowReaderException(CorruptImageError,"MissingImageChannel");
}
number_components=1;
break;
}
case JAS_CLRSPC_FAM_YCBCR:
{
components[0]=jas_image_getcmptbytype(jp2_image,JAS_IMAGE_CT_YCBCR_Y);
components[1]=jas_image_getcmptbytype(jp2_image,JAS_IMAGE_CT_YCBCR_CB);
components[2]=jas_image_getcmptbytype(jp2_image,JAS_IMAGE_CT_YCBCR_CR);
if ((components[0] < 0) || (components[1] < 0) || (components[2] < 0))
{
(void) jas_stream_close(jp2_stream);
jas_image_destroy(jp2_image);
ThrowReaderException(CorruptImageError,"MissingImageChannel");
}
number_components=3;
components[3]=jas_image_getcmptbytype(jp2_image,JAS_IMAGE_CT_UNKNOWN);
if (components[3] > 0)
{
image->matte=MagickTrue;
number_components++;
}
image->colorspace=YCbCrColorspace;
break;
}
default:
{
(void) jas_stream_close(jp2_stream);
jas_image_destroy(jp2_image);
ThrowReaderException(CoderError,"ColorspaceModelIsNotSupported");
}
}
image->columns=jas_image_width(jp2_image);
image->rows=jas_image_height(jp2_image);
image->compression=JPEG2000Compression;
for (i=0; i < (long) number_components; i++)
{
unsigned long
height,
width;
width=(unsigned long) (jas_image_cmptwidth(jp2_image,components[i])*
jas_image_cmpthstep(jp2_image,components[i]));
height=(unsigned long) (jas_image_cmptheight(jp2_image,components[i])*
jas_image_cmptvstep(jp2_image,components[i]));
x_step[i]=(unsigned int) jas_image_cmpthstep(jp2_image,components[i]);
y_step[i]=(unsigned int) jas_image_cmptvstep(jp2_image,components[i]);
if ((width != image->columns) || (height != image->rows) ||
(jas_image_cmpttlx(jp2_image,components[i]) != 0) ||
(jas_image_cmpttly(jp2_image,components[i]) != 0) ||
(x_step[i] != 1) || (y_step[i] != 1) ||
(jas_image_cmptsgnd(jp2_image,components[i]) != MagickFalse))
{
(void) jas_stream_close(jp2_stream);
jas_image_destroy(jp2_image);
ThrowReaderException(CoderError,"IrregularChannelGeometryNotSupported");
}
}
/*
Convert JPEG 2000 pixels.
*/
image->matte=number_components > 3 ? MagickTrue : MagickFalse;
maximum_component_depth=0;
for (i=0; i < (long) number_components; i++)
{
maximum_component_depth=(unsigned int) MagickMax((size_t)
jas_image_cmptprec(jp2_image,components[i]),(size_t)
maximum_component_depth);
pixels[i]=jas_matrix_create(1,(int) (image->columns/x_step[i]));
if (pixels[i] == (jas_matrix_t *) NULL)
{
for (--i; i >= 0; i--)
jas_matrix_destroy(pixels[i]);
jas_image_destroy(jp2_image);
ThrowReaderException(ResourceLimitError,"MemoryAllocationFailed");
}
}
image->depth=maximum_component_depth;
if (image_info->ping != MagickFalse)
{
(void) jas_stream_close(jp2_stream);
jas_image_destroy(jp2_image);
return(GetFirstImageInList(image));
}
for (i=0; i < (long) number_components; i++)
{
long
j;
map[i]=(QuantumAny *) AcquireQuantumMemory(MaxMap+1,sizeof(**map));
if (map[i] == (QuantumAny *) NULL)
{
for (--i; i >= 0; i--)
map[i]=(QuantumAny *) RelinquishMagickMemory(map[i]);
for (i=0; i < (long) number_components; i++)
jas_matrix_destroy(pixels[i]);
jas_image_destroy(jp2_image);
ThrowReaderException(ResourceLimitError,"MemoryAllocationFailed");
}
range=GetQuantumRange((unsigned long) jas_image_cmptprec(jp2_image,
components[i]));
for (j=0; j <= (long) MaxMap; j++)
map[i][j]=ScaleQuantumToMap(ScaleAnyToQuantum((QuantumAny) j,range));
}
for (y=0; y < (long) image->rows; y++)
{
q=GetAuthenticPixels(image,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
break;
for (i=0; i < (long) number_components; i++)
(void) jas_image_readcmpt(jp2_image,(short) components[i],0,
((unsigned int) y)/y_step[i],((unsigned int) image->columns)/x_step[i],
1,pixels[i]);
switch (number_components)
{
case 1:
{
/*
Grayscale.
*/
for (x=0; x < (long) image->columns; x++)
{
pixel=(QuantumAny) jas_matrix_getv(pixels[0],x/x_step[0]);
q->red=(Quantum) map[0][pixel];
q->green=q->red;
q->blue=q->red;
q++;
}
break;
}
case 3:
{
/*
RGB.
*/
for (x=0; x < (long) image->columns; x++)
{
pixel=(QuantumAny) jas_matrix_getv(pixels[0],x/x_step[0]);
q->red=(Quantum) map[0][pixel];
pixel=(QuantumAny) jas_matrix_getv(pixels[1],x/x_step[1]);
q->green=(Quantum) map[1][pixel];
pixel=(QuantumAny) jas_matrix_getv(pixels[2],x/x_step[2]);
q->blue=(Quantum) map[2][pixel];
q++;
}
break;
}
case 4:
{
/*
RGBA.
*/
for (x=0; x < (long) image->columns; x++)
{
pixel=(QuantumAny) jas_matrix_getv(pixels[0],x/x_step[0]);
q->red=(Quantum) map[0][pixel];
pixel=(QuantumAny) jas_matrix_getv(pixels[1],x/x_step[1]);
q->green=(Quantum) map[1][pixel];
pixel=(QuantumAny) jas_matrix_getv(pixels[2],x/x_step[2]);
q->blue=(Quantum) map[2][pixel];
pixel=(QuantumAny) jas_matrix_getv(pixels[3],x/x_step[3]);
q->opacity=(Quantum) (QuantumRange-map[3][pixel]);
q++;
}
break;
}
}
if (SyncAuthenticPixels(image,exception) == MagickFalse)
break;
status=SetImageProgress(image,LoadImageTag,y,image->rows);
if (status == MagickFalse)
break;
}
for (i=0; i < (long) number_components; i++)
map[i]=(QuantumAny *) RelinquishMagickMemory(map[i]);
cm_profile=jas_image_cmprof(jp2_image);
icc_profile=(jas_iccprof_t *) NULL;
if (cm_profile != (jas_cmprof_t *) NULL)
icc_profile=jas_iccprof_createfromcmprof(cm_profile);
if (icc_profile != (jas_iccprof_t *) NULL)
{
jas_stream_t
*icc_stream;
icc_stream=jas_stream_memopen(NULL,0);
if ((icc_stream != (jas_stream_t *) NULL) &&
(jas_iccprof_save(icc_profile,icc_stream) == 0) &&
(jas_stream_flush(icc_stream) == 0))
{
StringInfo
*icc_profile,
*profile;
jas_stream_memobj_t
*blob;
/*
Extract the icc profile, handle errors without much noise.
*/
blob=(jas_stream_memobj_t *) icc_stream->obj_;
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
"Profile: ICC, %lu bytes",(unsigned long) blob->len_);
profile=AcquireStringInfo(blob->len_);
SetStringInfoDatum(profile,blob->buf_);
icc_profile=(StringInfo *) GetImageProfile(image,"icc");
if (icc_profile == (StringInfo *) NULL)
(void) SetImageProfile(image,"icc",profile);
else
(void) ConcatenateStringInfo(icc_profile,profile);
profile=DestroyStringInfo(profile);
(void) jas_stream_close(icc_stream);
}
}
(void) jas_stream_close(jp2_stream);
jas_image_destroy(jp2_image);
for (i=0; i < (long) number_components; i++)
jas_matrix_destroy(pixels[i]);
return(GetFirstImageInList(image));
}
