milk
1.01
Modular Image processing Library toolKit
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49 double better_poisson(
double mu);
51 double fast_poisson(
double mu);
double gauss_trc()
truncated (-1/+1) sigma = 1 mean = 0 gaussian probability
Definition: statistic.c:227
double ran1()
Uniform distribution from 0 to 1.
Definition: statistic.c:200
long poisson(double mu)
Poisson distribution.
Definition: statistic.c:242
double gammaln(double xx)
Gamma function.
errno_t __attribute__((hot))
Logs a shared memory stream onto disk.
Definition: logshmim.c:685
long put_poisson_noise(const char *ID_in_name, const char *ID_out_name)
Apply Poisson noise to image.
Definition: statistic.c:351
long put_gauss_noise(const char *ID_in_name, const char *ID_out_name, double ampl)
Apply Gaussian noise to image.
Definition: statistic.c:383
double gauss()
Normal distribution, mean=0, sigma=1.
Definition: statistic.c:213