static inline void PlasmaPixel(Image *image,RandomInfo *random_info,double x,
double y)
{
ExceptionInfo
*exception;
QuantumAny
range;
register PixelPacket
*q;
exception=(&image->exception);
q=GetAuthenticPixels(image,(ssize_t) ceil(x-0.5),(ssize_t) ceil(y-0.5),1,1,
exception);
if (q == (PixelPacket *) NULL)
return;
range=GetQuantumRange(16UL);
q->red=ScaleAnyToQuantum((size_t) (65535.0*
GetPseudoRandomValue(random_info)+0.5),range);
q->green=ScaleAnyToQuantum((size_t) (65535.0*
GetPseudoRandomValue(random_info)+0.5),range);
q->blue=ScaleAnyToQuantum((size_t) (65535.0*
GetPseudoRandomValue(random_info)+0.5),range);
(void) SyncAuthenticPixels(image,exception);
}
static inline void PlasmaPixel(Image *image,double x,double y)
{
register PixelPacket
*q;
q=GetImagePixels(image,(long) ceil(x-0.5),(long) ceil(y-0.5),1,1);
if (q == (PixelPacket *) NULL)
return;
q->red=ScaleAnyToQuantum((unsigned long)
(65535.0*GetPseudoRandomValue()+0.5),16UL);
q->green=ScaleAnyToQuantum((unsigned long)
(65535.0*GetPseudoRandomValue()+0.5),16UL);
q->blue=ScaleAnyToQuantum((unsigned long)
(65535.0*GetPseudoRandomValue()+0.5),16UL);
(void) SyncImagePixels(image);
}
static inline void PlasmaPixel(Image *image,RandomInfo *random_info,double x,
double y,ExceptionInfo *exception)
{
register Quantum
*q;
q=GetAuthenticPixels(image,(ssize_t) ceil(x-0.5),(ssize_t) ceil(y-0.5),1,1,
exception);
if (q == (Quantum *) NULL)
return;
SetPixelRed(image,ScaleShortToQuantum((unsigned short) (65535.0*
GetPseudoRandomValue(random_info)+0.5)),q);
SetPixelGreen(image,ScaleShortToQuantum((unsigned short) (65535.0*
GetPseudoRandomValue(random_info)+0.5)),q);
SetPixelBlue(image,ScaleShortToQuantum((unsigned short) (65535.0*
GetPseudoRandomValue(random_info)+0.5)),q);
(void) SyncAuthenticPixels(image,exception);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e n e r a t e D i f f e r e n t i a l N o i s e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GenerateDifferentialNoise() generates differentual noise.
%
% The format of the GenerateDifferentialNoise method is:
%
% double GenerateDifferentialNoise(RandomInfo *random_info,
% const Quantum pixel,const NoiseType noise_type,
% const MagickRealType attenuate)
%
% A description of each parameter follows:
%
% o random_info: the random info.
%
% o pixel: noise is relative to this pixel value.
%
% o noise_type: the type of noise.
%
% o attenuate: attenuate the noise.
%
*/
MagickExport double GenerateDifferentialNoise(RandomInfo *random_info,
const Quantum pixel,const NoiseType noise_type,const MagickRealType attenuate)
{
#define SigmaUniform (attenuate*0.015625)
#define SigmaGaussian (attenuate*0.015625)
#define SigmaImpulse (attenuate*0.1)
#define SigmaLaplacian (attenuate*0.0390625)
#define SigmaMultiplicativeGaussian (attenuate*0.5)
#define SigmaPoisson (attenuate*0.05/0.0001953125)
#define TauGaussian (attenuate*0.078125)
double
alpha,
beta,
noise,
sigma;
alpha=GetPseudoRandomValue(random_info);
switch (noise_type)
{
case UniformNoise:
default:
{
noise=(double) pixel+QuantumRange*SigmaUniform*(alpha-0.5);
break;
}
case GaussianNoise:
{
double
gamma,
tau;
if (alpha == 0.0)
alpha=1.0;
beta=GetPseudoRandomValue(random_info);
gamma=sqrt(-2.0*log(alpha));
sigma=gamma*cos((double) (2.0*MagickPI*beta));
tau=gamma*sin((double) (2.0*MagickPI*beta));
noise=(double) pixel+sqrt((double) pixel)*SigmaGaussian*sigma+
QuantumRange*TauGaussian*tau;
break;
}
case ImpulseNoise:
{
if (alpha < (SigmaImpulse/2.0))
noise=0.0;
else
if (alpha >= (1.0-(SigmaImpulse/2.0)))
noise=(double) QuantumRange;
else
noise=(double) pixel;
break;
}
case LaplacianNoise:
{
if (alpha <= 0.5)
{
if (alpha <= MagickEpsilon)
noise=(double) pixel-(double) QuantumRange;
else
noise=(double) pixel+QuantumRange*SigmaLaplacian*
log(2.0*alpha)+0.5;
break;
}
beta=1.0-alpha;
if (beta <= (0.5*MagickEpsilon))
noise=(double) (pixel+QuantumRange);
else
noise=(double) pixel-QuantumRange*SigmaLaplacian*log(2.0*beta)+0.5;
break;
}
case MultiplicativeGaussianNoise:
{
sigma=1.0;
if (alpha > MagickEpsilon)
sigma=sqrt(-2.0*log(alpha));
beta=GetPseudoRandomValue(random_info);
noise=(double) pixel+pixel*SigmaMultiplicativeGaussian*sigma*
cos((double) (2.0*MagickPI*beta))/2.0;
break;
}
case PoissonNoise:
{
double
poisson;
register ssize_t
i;
poisson=exp(-SigmaPoisson*QuantumScale*pixel);
for (i=0; alpha > poisson; i++)
{
beta=GetPseudoRandomValue(random_info);
alpha*=beta;
}
noise=(double) QuantumRange*i/SigmaPoisson;
break;
}
case RandomNoise:
{
noise=(double) QuantumRange*alpha;
break;
}
}
return(noise);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e n e r a t e D i f f e r e n t i a l N o i s e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GenerateDifferentialNoise() generates differentual noise.
%
% The format of the GenerateDifferentialNoise method is:
%
% double GenerateDifferentialNoise(RandomInfo *random_info,
% const Quantum pixel,const NoiseType noise_type,
% const MagickRealType attenuate)
%
% A description of each parameter follows:
%
% o random_info: the random info.
%
% o pixel: noise is relative to this pixel value.
%
% o noise_type: the type of noise.
%
% o attenuate: attenuate the noise.
%
*/
MagickExport double GenerateDifferentialNoise(RandomInfo *random_info,
const Quantum pixel,const NoiseType noise_type,const MagickRealType attenuate)
{
#define NoiseEpsilon (attenuate*1.0e-5)
#define SigmaUniform (attenuate*4.0)
#define SigmaGaussian (attenuate*4.0)
#define SigmaImpulse (attenuate*0.10)
#define SigmaLaplacian (attenuate*10.0)
#define SigmaMultiplicativeGaussian (attenuate*1.0)
#define SigmaPoisson (attenuate*0.05)
#define TauGaussian (attenuate*20.0)
double
alpha,
beta,
noise,
sigma;
alpha=GetPseudoRandomValue(random_info);
switch (noise_type)
{
case UniformNoise:
default:
{
noise=(double) pixel+ScaleCharToQuantum((unsigned char)
(SigmaUniform*(alpha)));
break;
}
case GaussianNoise:
{
double
tau;
if (alpha == 0.0)
alpha=1.0;
beta=GetPseudoRandomValue(random_info);
sigma=sqrt(-2.0*log(alpha))*cos(2.0*MagickPI*beta);
tau=sqrt(-2.0*log(alpha))*sin(2.0*MagickPI*beta);
noise=(double) pixel+sqrt((double) pixel)*SigmaGaussian*sigma+
TauGaussian*tau;
break;
}
case MultiplicativeGaussianNoise:
{
if (alpha <= NoiseEpsilon)
sigma=(double) QuantumRange;
else
sigma=sqrt(-2.0*log(alpha));
beta=GetPseudoRandomValue(random_info);
noise=(double) pixel+pixel*SigmaMultiplicativeGaussian*sigma/2.0*
cos((2.0*MagickPI*beta));
break;
}
case ImpulseNoise:
{
if (alpha < (SigmaImpulse/2.0))
noise=0.0;
else if (alpha >= (1.0-(SigmaImpulse/2.0)))
noise=(double) QuantumRange;
else
noise=(double) pixel;
break;
}
case LaplacianNoise:
{
if (alpha <= 0.5)
{
if (alpha <= NoiseEpsilon)
noise=(double) pixel-(double) QuantumRange;
else
noise=(double) pixel+ScaleCharToQuantum((unsigned char)
(SigmaLaplacian*log((2.0*alpha))+0.5));
break;
}
beta=1.0-alpha;
if (beta <= (0.5*NoiseEpsilon))
noise=(double) (pixel+QuantumRange);
else
noise=(double) pixel-ScaleCharToQuantum((unsigned char)
(SigmaLaplacian*log((2.0*beta))+0.5));
break;
}
case PoissonNoise:
{
double
poisson;
register long
i;
poisson=exp(-SigmaPoisson*ScaleQuantumToChar(pixel));
for (i=0; alpha > poisson; i++)
{
beta=GetPseudoRandomValue(random_info);
alpha*=beta;
}
noise=(double) ScaleCharToQuantum((unsigned char) (i/SigmaPoisson));
break;
}
case RandomNoise:
{
noise=(double) QuantumRange*GetPseudoRandomValue(random_info);
break;
}
}
return(noise);
}
