cfitsTK
statistic.h
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18 #ifndef _STATISTIC_H
19 #define _STATISTIC_H
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22 int_fast8_t init_statistic();
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28 double ran1();
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34 double gauss();
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40 double gauss_trc();
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47 long poisson(double mu);
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53 double gammaln(double xx);
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56 double better_poisson(double mu);
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58 double fast_poisson(double mu);
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64 long put_poisson_noise(const char *ID_in_name, const char *ID_out_name);
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69 long put_gauss_noise(const char *ID_in_name, const char *ID_out_name, double ampl);
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73 #endif
gauss
double gauss()
Normal distribution, mean=0, sigma=1.
Definition: statistic.c:153
put_poisson_noise
long put_poisson_noise(const char *ID_in_name, const char *ID_out_name)
Apply Poisson noise to image.
Definition: statistic.c:283
gauss_trc
double gauss_trc()
truncated (-1/+1) sigma = 1 mean = 0 gaussian probability
Definition: statistic.c:167
ran1
double ran1()
Uniform distribution from 0 to 1.
Definition: statistic.c:140
poisson
long poisson(double mu)
Poisson distribution.
Definition: statistic.c:182
gammaln
double gammaln(double xx)
Gamma function.
better_poisson
double better_poisson(double mu)
Definition: statistic.c:235
fast_poisson
double fast_poisson(double mu)
Definition: statistic.c:218
put_gauss_noise
long put_gauss_noise(const char *ID_in_name, const char *ID_out_name, double ampl)
Apply Gaussian noise to image.
Definition: statistic.c:311
init_statistic
int_fast8_t init_statistic()
Definition: statistic.c:96