Module ITKDeconvolution

Collaboration diagram for Module ITKDeconvolution:

Classes
class	itk::InverseDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >
	The direct linear inverse deconvolution filter. More...
class	itk::IterativeDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage >
	Abstract base class for filters that implement iterative deconvolution algorithms. More...
class	itk::LandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage >
	Deconvolve an image using the Landweber deconvolution algorithm. More...
class	itk::Functor::LandweberMethod< TInput1, TInput2, TInput3, TOutput >
	Functor class for computing a Landweber iteration. More...
class	itk::ProjectedIterativeDeconvolutionImageFilter< TSuperclass >
	Mix-in class that adds a projection step after each iteration. More...
class	itk::ProjectedLandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage >
	Deconvolve an image using the projected Landweber deconvolution algorithm. More...
class	itk::RichardsonLucyDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage >
	Deconvolve an image using the Richardson-Lucy deconvolution algorithm. More...
class	itk::TikhonovDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >
	An inverse deconvolution filter regularized in the Tikhonov sense. More...
class	itk::WienerDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >
	The Wiener deconvolution image filter is designed to restore an image convolved with a blurring kernel while keeping noise enhancement to a minimum. More...

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Detailed Description

This module contains filters that deconvolve images that have been blurred with a shift-invariant kernel.

Dependencies:

• Module ITKConvolution