A class to estimate blur by searching a range of blur values and selecting the one with the best gradient kurtosis References: - "Blur Identification based on Kurtosis Minimization". D. Li, R. Mersereau and S. Simsk in IEEE ICIP2005. More...

#include <BlurEstimator.h>

Public Member Functions
	BlurEstimator ()
	Constructor.

	~BlurEstimator ()
	Destructor.

double	Run (ArrayGrid< double > *pGrid)
	gets the sigma of the blur for the given grid More...

double	GetBlurUnderLimit ()
	Gets the underlimit of the search range in which to search the blur.

void	SetBlurUnderLimit (double underLimit)
	Sets the underlimit of the search range in which to search the blur. More...

double	GetBlurUpperLimit ()
	Gets the upperlimit of the search range in which to search the blur.

void	SetBlurUpperLimit (double upperLimit)
	Sets the upperlimit of the search range in which to search the blur. More...

double	GetStepSize ()
	gets the step size with which to search the search range

void	SetStepSize (double stepSize)
	sets the step size with which to search the search range More...

double	GetNoiseLevel ()
	gets the level of noise in the input grid In our case, we assume this is the sigma of white Gaussian noise

void	SetNoiseLevel (double noiseLevel)
	Sets the level of noise in the input grid In our case, we assume this is the sigma of white Gaussian noise. More...

Detailed Description

A class to estimate blur by searching a range of blur values and selecting the one with the best gradient kurtosis References: - "Blur Identification based on Kurtosis Minimization". D. Li, R. Mersereau and S. Simsk in IEEE ICIP2005.

"Parametric PSF estimation via sparseness maximization in the wavelet domain", F. Rooms, W. Philips and J. Portilla, SPIE "Wavelet Applications in Industrial Processing II" 2004, Philadelphia, pp. 26–33

Member Function Documentation

double stira::degradationestimation::BlurEstimator::Run ( ArrayGrid< double > * pGrid )

gets the sigma of the blur for the given grid

Parameters

pGrid the grid for which to determine the blur

References stira::imagedata::ArrayGrid< T >::GetHeight(), and stira::imagedata::ArrayGrid< T >::GetWidth().

void stira::degradationestimation::BlurEstimator::SetBlurUnderLimit ( double underLimit )

Sets the underlimit of the search range in which to search the blur.

Parameters

underLimit the underlimit of the search range

void stira::degradationestimation::BlurEstimator::SetBlurUpperLimit ( double upperLimit )

Sets the upperlimit of the search range in which to search the blur.

Parameters

upperLimit the upperlimit of the search range

void stira::degradationestimation::BlurEstimator::SetNoiseLevel ( double noiseLevel )

Sets the level of noise in the input grid In our case, we assume this is the sigma of white Gaussian noise.

Parameters

noiseLevel the level of noise in the input grid

void stira::degradationestimation::BlurEstimator::SetStepSize ( double stepSize )

sets the step size with which to search the search range

Parameters

stepSize the step size

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

degradationestimation/degradationestimation/BlurEstimator.h
degradationestimation/degradationestimation/BlurEstimator.cpp

Public Member Functions

Detailed Description

Member Function Documentation