Generates noise realisations according to Poisson statistics but allowing for scaling. More...

#include "stir/GeneralisedPoissonNoiseGenerator.h"

Public Member Functions
	GeneralisedPoissonNoiseGenerator (const float scaling_factor=1.0F, const bool preserve_mean=false)
	Constructor intialises the andom number generator with a fixed seed.

void	seed (unsigned int)
	The seed value for the random number generator.

float	generate_random (const float mu)
	generate a random number according to a distribution with mean mu

template<int num_dimensions, class elemTout , class elemTin >
void	generate_random (Array< num_dimensions, elemTout > &array_out, const Array< num_dimensions, elemTin > &array_in)

void	generate_random (ProjData &output_projdata, const ProjData &input_projdata)

Detailed Description

Generates noise realisations according to Poisson statistics but allowing for scaling.

A scaling_factor is used to multiply the input data before generating the Poisson random number. This means that a scaling_factor larger than 1 will result in less noisy data.

If preserve_mean=false,, the mean of the output data will be equal to scaling_factor*mean_of_input, otherwise it will be equal to mean_of_input, but then the output is no longer Poisson distributed.

The documentation for this class was generated from the following files:

/home/sirfuser/devel/STIRdistrib/STIR/src/include/stir/GeneralisedPoissonNoiseGenerator.h
/home/sirfuser/devel/STIRdistrib/STIR/src/buildblock/GeneralisedPoissonNoiseGenerator.cxx

Public Member Functions

Detailed Description