Contrast enhance colormap.
*/
for (i=0; i < (ssize_t) image->colors; i++)
- Contrast(sign,&image->colormap[i].red,&image->colormap[i].green,
- &image->colormap[i].blue);
+ {
+ double
+ blue,
+ green,
+ red;
+
+ Contrast(sign,&red,&green,&blue);
+ image->colormap[i].red=(MagickRealType) red;
+ image->colormap[i].red=(MagickRealType) red;
+ image->colormap[i].red=(MagickRealType) red;
+ }
}
/*
Contrast enhance image.
{
#define EnhancePixel(weight) \
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*((double) QuantumRange+1.0)+ \
- mean)*distance*distance; \
- if (distance_squared < ((double) QuantumRange*(double) \
- QuantumRange/25.0f)) \
+ distance=(double) r[i]-(double) GetPixelChannel(enhance_image,channel,q); \
+ distance_squared=QuantumScale*(2.0*((double) QuantumRange+1.0)+mean)* \
+ distance*distance; \
+ if (distance_squared < ((double) QuantumRange*(double) QuantumRange/25.0f)) \
{ \
aggregate+=(weight)*r[i]; \
total_weight+=(weight); \
Negate image.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
- #pragma omp parallel for schedule(static) shared(progress,status) \
+ #pragma omp parallel for schedule(static,4) shared(progress,status) \
dynamic_number_threads(image,image->columns,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
%
*/
+/*
+ ImageMagick 6 has a version of this function which uses LUTs.
+*/
+
/*
Sigmoidal function Sigmoidal with inflexion point moved to b and "slope
constant" set to a.
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,
+ zero. This is fixed below 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
const double x)
{
const double sig0=Sigmoidal(a,b,0.0);
- const double argument=(Sigmoidal(a,b,1.0)-sig0)*x+sig0;
+ const double sig1=Sigmoidal(a,b,1.0);
+ const double argument=(sig1-sig0)*x+sig0;
const double clamped=
(
#if defined(MAGICKCORE_HAVE_ATANH)
:
( argument > 1-MagickEpsilon ? 1-MagickEpsilon : argument )
);
- return(b-(1.0/a)*log(1.0/clamped-1.0));
+ return(b-log(1.0/clamped-1.0)/a);
#endif
}