child class for computing Tikhonov-Miller deconvolution Based on implementation of my thesis student Tim Stevens More...

#include <TikhonovMillerDeconvolve.h>

Inheritance diagram for stira::deconvolve::TikhonovMillerDeconvolve:

Public Member Functions
	TikhonovMillerDeconvolve (Image *pDegradedImage, int maxNrOfIterations=20)
	constructor without setting PSF, so is still to be determined or estimated before run More...

	TikhonovMillerDeconvolve (Image pDegradedImage, Image pPSF, int maxNrOfIterations=20)
	constructor with setting the PSF More...

	~TikhonovMillerDeconvolve ()
	destructor

void	SetEnforcePositivity (bool flag)
	sets the flag if positivity should be enforced after every iteration If true, all negative values in the image are set to zero after every iteration

bool	GetEnforcePositivity ()
	gets the flag if positivity should be enforced after every iteration

bool	Run ()
	starts the deconvolution if all inputs are available After completion, get the result with GetRestoredImage() from the parent class

void	PrintParameters ()
	prints for diagnostic purposes parameters to standard output

void	ICTM_filter (int nrIterations, ArrayGrid< double > pData, ArrayGrid< double > pPsf)

Public Member Functions inherited from stira::deconvolve::IterativeDeconvolve
void	SetLambda (double lambda)
	sets regularization parameter lambda

double	GetLambda ()
	gets regularization parameter lambda

void	SetStepSize (double stepSize)
	sets step size

double	GetStepSize ()
	gets step size

int	GetMaximumNrOfIterations ()
	gets the maximum number of iterations

void	SetMaximumNrOfIterations (int nrIter)
	sets the maximum number of iterations More...

Public Member Functions inherited from stira::deconvolve::DeconvolveMaster
Image *	GetDegradedImage ()
	Gets the degraded input image.

void	SetDegradedImage (Image *pDegradedImage)
	sets the degraded image to restore More...

Image *	GetPSF ()
	gets the Point Spread Function (PSF) The PSF is a model of the blur; it is how every single point is imaged in the degraded image. For an ideal image, it would be a delta function; in reality, it is mostly a certain spot.

void	SetPSF (Image *pPSF)
	sets the Point Spread Function (PSF) More...

Image *	GetRestoredImage ()
	gets the result after running the deconvolution

void	SetSigmaNoise (double sigma)
	sets the noise level More...

double	GetSigmaNoise ()
	gets the noise level

Additional Inherited Members
Protected Member Functions inherited from stira::deconvolve::IterativeDeconvolve
	IterativeDeconvolve (Image *pDegradedImage, int maxNrOfIterations=20)
	constructor Protected constructor; should be called by a child class More...

	IterativeDeconvolve (Image pDegradedImage, Image pPSF, int maxNrOfIterations=20)
	constructor Protected constructor; should be called by a child class More...

	~IterativeDeconvolve ()
	destructor

void	Initialize (int maxNrOfIterations)
	initializes all data structures for deconvolution

bool	PrepareCurrentGrids ()
	Prepares grid for restoration Restoration goes per colour band per iteration, so for each step, the pointers mpDegradedGrid, mpLastGrid, mpNewGrid, mpPSFGrid are set here.

Protected Member Functions inherited from stira::deconvolve::DeconvolveMaster
	DeconvolveMaster (Image *pDegradedImage)
	constructor Sets degraded input image; PSF is estimated or entered in later stage More...

	DeconvolveMaster (Image pDegradedImage, Image pPSF)
	constructor Sets degraded input image and PSF More...

virtual	~DeconvolveMaster ()
	constructor

bool	AreParentConditionsOK ()
	checks basic conditions are fulfilled for all deconvolution methods

Protected Attributes inherited from stira::deconvolve::IterativeDeconvolve
Image *	mpLastEstimate
	pointer to the restored image from previous iteration

Image *	mpNewEstimate
	pointer to the restored image from current iteration

double	mLambda
	Regularization parameter.

double	mStepSize
	Step size.

int	mCurrentIterationNr
	number of the current iteration

int	mCurrentBandNr
	number of the current band being retsored

int	mMaximumNrOfIterations
	maximum number of iterations

ArrayGrid< double > *	mpDegradedGrid
	pointer to a band of the degraded image

ArrayGrid< double > *	mpLastGrid
	pointer to a band of the restored image from previous iteration

ArrayGrid< double > *	mpNewGrid
	pointer to a band of the restored image from current iteration

ArrayGrid< double > *	mpPSFGrid
	pointer to a band of the Point Spread Function

Protected Attributes inherited from stira::deconvolve::DeconvolveMaster
Image *	mpDegradedImage
	degraded input image

Image *	mpRestoredImage
	restored image for output

Image *	mpPSF
	image containing the Point Spread Function

double	mSigmaNoise
	sigma of the noise

Detailed Description

child class for computing Tikhonov-Miller deconvolution Based on implementation of my thesis student Tim Stevens

Warning: NOT OPERATIONAL YET

Constructor & Destructor Documentation

stira::deconvolve::TikhonovMillerDeconvolve::TikhonovMillerDeconvolve	(	Image *	pDegradedImage,
		int	maxNrOfIterations = `20`
	)

constructor without setting PSF, so is still to be determined or estimated before run

Parameters

pDegradedImage	the input image to be restored
maxNrOfIterations	maximum number of iterations

stira::deconvolve::TikhonovMillerDeconvolve::TikhonovMillerDeconvolve	(	Image *	pDegradedImage,
		Image *	pPSF,
		int	maxNrOfIterations = `20`
	)

constructor with setting the PSF

Parameters

pDegradedImage	the input image to be restored
pPSF	the input PSF (needs same width and height as pDegradedImage)
maxNrOfIterations	maximum number of iterations

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

deconvolve/deconvolve/TikhonovMillerDeconvolve.h
deconvolve/deconvolve/TikhonovMillerDeconvolve.cpp

Public Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation