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++)
*/
/*
- Sigmoidal function with inflexion point moved to b and "slope constant" set
- to a.
+ 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.
+
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
+ 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.
- (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.
+ The tanh version is almost certainly more accurate and cheaper. The 0.5
+ factor in the 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))) )
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
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:
+ InverseScaledSigmoidal is not a two-sided 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 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
}