#include <itkInverseDeconvolutionImageFilter.h>

Inheritance diagram for itk::InverseDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >:

Collaboration diagram for itk::InverseDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >:

List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef TInputImage	InputImageType
typedef Superclass::InputIndexType	InputIndexType
typedef Superclass::InputPixelType	InputPixelType
typedef Superclass::InputRegionType	InputRegionType
typedef Superclass::InputSizeType	InputSizeType
typedef Superclass::InternalComplexImagePointerType	InternalComplexImagePointerType
typedef Superclass::InternalComplexImageType	InternalComplexImageType
typedef Superclass::InternalComplexType	InternalComplexType
typedef Superclass::InternalImagePointerType	InternalImagePointerType
typedef Superclass::InternalImageType	InternalImageType
typedef TKernelImage	KernelImageType
typedef Superclass::KernelIndexType	KernelIndexType
typedef Superclass::KernelPixelType	KernelPixelType
typedef Superclass::KernelRegionType	KernelRegionType
typedef Superclass::KernelSizeType	KernelSizeType
typedef TOutputImage	OutputImageType
typedef Superclass::OutputIndexType	OutputIndexType
typedef Superclass::OutputPixelType	OutputPixelType
typedef Superclass::OutputRegionType	OutputRegionType
typedef Superclass::OutputSizeType	OutputSizeType
typedef SmartPointer< Self >	Pointer
typedef InverseDeconvolutionImageFilter	Self
typedef Superclass::SizeValueType	SizeValueType
typedef FFTConvolutionImageFilter < TInputImage, TOutputImage >	Superclass
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual const char *	GetNameOfClass () const

virtual void	SetKernelZeroMagnitudeThreshold (double _arg)
virtual double	GetKernelZeroMagnitudeThreshold () const
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	ImageDimension = TInputImage::ImageDimension
Protected Member Functions
void	GenerateData ()
	InverseDeconvolutionImageFilter ()
virtual void	PrintSelf (std::ostream &os, Indent indent) const
	~InverseDeconvolutionImageFilter ()
Private Member Functions
	InverseDeconvolutionImageFilter (const Self &)
void	operator= (const Self &)
Private Attributes
double	m_KernelZeroMagnitudeThreshold

Detailed Description

template<class TInputImage, class TKernelImage = TInputImage, class TOutputImage = TInputImage, class TInternalPrecision = double>
class itk::InverseDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >

The direct linear inverse deconvolution filter.

The inverse filter is the most straightforward deconvolution method. Considering that convolution of two images in the spatial domain is equivalent to multiplying the Fourier transform of the two images, the inverse filter consists of inverting the multiplication. In other words, this filter computes the following:

$hat{F}(\omega) = \begin{cases} G(\omega) / H(\omega) & \text{if $|H(\omega)| \geq \epsilon$} \\ 0 & \text{otherwise} \end{cases}$

where $\hat{F}(\omega)$ is the Fourier transform of the estimate produced by this filter, $G(\omega)$ is the Fourier transform of the input blurred image, $H(\omega)$ is the Fourier transform of the blurring kernel, and $\epsilon$ is a constant real non-negative threshold (called KernelZeroMagnitudeThreshold in this filter) that determines when the magnitude of a complex number is considered zero.