The Wiener deconvolution image filter is designed to restore an image convolved with a blurring kernel while keeping noise enhancement to a minimum. More...

#include <sitkWienerDeconvolutionImageFilter.h>

Inheritance diagram for itk::simple::WienerDeconvolutionImageFilter:

Collaboration diagram for itk::simple::WienerDeconvolutionImageFilter:

Public Types
enum	BoundaryConditionType { ZERO_PAD, ZERO_FLUX_NEUMANN_PAD, PERIODIC_PAD }

enum	OutputRegionModeType { SAME, VALID }

typedef BasicPixelIDTypeList	PixelIDTypeList

typedef WienerDeconvolutionImageFilter	Self

Public Types inherited from itk::simple::ImageFilter< 2 >
typedef ImageFilter	Self

Public Types inherited from itk::simple::ProcessObject
typedef ProcessObject	Self

Public Member Functions
Image	Execute (const Image &image1, const Image &image2)

Image	Execute (const Image &image1, const Image &image2, double noiseVariance, bool normalize, WienerDeconvolutionImageFilter::BoundaryConditionType boundaryCondition, WienerDeconvolutionImageFilter::OutputRegionModeType outputRegionMode)

BoundaryConditionType	GetBoundaryCondition () const

std::string	GetName () const

double	GetNoiseVariance () const

bool	GetNormalize () const

OutputRegionModeType	GetOutputRegionMode () const

Self &	NormalizeOff ()

Self &	NormalizeOn ()

Self &	SetBoundaryCondition (BoundaryConditionType BoundaryCondition)

Self &	SetNoiseVariance (double NoiseVariance)

Self &	SetNormalize (bool Normalize)

Self &	SetOutputRegionMode (OutputRegionModeType OutputRegionMode)

std::string	ToString () const

	WienerDeconvolutionImageFilter ()

	~WienerDeconvolutionImageFilter ()

Public Member Functions inherited from itk::simple::ImageFilter< 2 >
	ImageFilter ()

virtual	~ImageFilter ()=0

Public Member Functions inherited from itk::simple::ProcessObject
virtual void	Abort ()

virtual int	AddCommand (itk::simple::EventEnum event, itk::simple::Command &cmd)
	Add a Command Object to observer the event. More...

virtual float	GetProgress () const
	An Active Measurement of the progress of execution. More...

virtual bool	HasCommand (itk::simple::EventEnum event) const
	Query of this object has any registered commands for event. More...

	ProcessObject ()

virtual void	RemoveAllCommands ()
	Remove all registered commands. More...

virtual	~ProcessObject ()

virtual void	DebugOn ()

virtual void	DebugOff ()

virtual bool	GetDebug () const

virtual void	SetDebug (bool debugFlag)

virtual void	SetNumberOfThreads (unsigned int n)

virtual unsigned int	GetNumberOfThreads () const

Private Types
typedef Image(Self::*	MemberFunctionType) (const Image &image1, const Image &image2)

Private Member Functions
template<class TImageType >
Image	ExecuteInternal (const Image &image1, const Image &image2)

Private Attributes
BoundaryConditionType	m_BoundaryCondition

nsstd::auto_ptr< detail::MemberFunctionFactory< MemberFunctionType > >	m_MemberFactory

double	m_NoiseVariance

bool	m_Normalize

OutputRegionModeType	m_OutputRegionMode

Friends
struct	detail::MemberFunctionAddressor< MemberFunctionType >

Additional Inherited Members
Static Public Member Functions inherited from itk::simple::ProcessObject
static bool	GetGlobalDefaultDebug ()

static void	GlobalDefaultDebugOff ()

static void	GlobalDefaultDebugOn ()

static void	SetGlobalDefaultDebug (bool debugFlag)

static void	GlobalWarningDisplayOn ()

static void	GlobalWarningDisplayOff ()

static void	SetGlobalWarningDisplay (bool flag)

static bool	GetGlobalWarningDisplay ()

static void	SetGlobalDefaultNumberOfThreads (unsigned int n)

static unsigned int	GetGlobalDefaultNumberOfThreads ()

static double	GetGlobalDefaultCoordinateTolerance ()
	Access the global tolerance to determine congruent spaces. More...

static void	SetGlobalDefaultCoordinateTolerance (double)
	Access the global tolerance to determine congruent spaces. More...

static double	GetGlobalDefaultDirectionTolerance ()
	Access the global tolerance to determine congruent spaces. More...

static void	SetGlobalDefaultDirectionTolerance (double)
	Access the global tolerance to determine congruent spaces. More...

Protected Member Functions inherited from itk::simple::ProcessObject
virtual unsigned long	AddITKObserver (const itk::EventObject &, itk::Command *)

virtual itk::ProcessObject *	GetActiveProcess ()

virtual void	OnActiveProcessDelete ()

virtual void	onCommandDelete (const itk::simple::Command *cmd) throw ()

virtual void	PreUpdate (itk::ProcessObject *p)

virtual void	RemoveITKObserver (EventCommand &e)

Protected Member Functions inherited from itk::simple::NonCopyable
	NonCopyable ()

Static Protected Member Functions inherited from itk::simple::ImageFilter< 2 >
static void	FixNonZeroIndex (TImageType *img)

Static Protected Member Functions inherited from itk::simple::ProcessObject
template<class TImageType >
static TImageType::ConstPointer	CastImageToITK (const Image &img)

template<class TImageType >
static Image	CastITKToImage (TImageType *img)

template<class TPixelType , unsigned int VImageDimension, unsigned int VLength, template< typename, unsigned int > class TVector>
static Image	CastITKToImage (itk::Image< TVector< TPixelType, VLength >, VImageDimension > *img)

static const itk::EventObject &	GetITKEventObject (EventEnum e)

template<typename T >
static std::ostream &	ToStringHelper (std::ostream &os, const T &v)

static std::ostream &	ToStringHelper (std::ostream &os, const char &v)

static std::ostream &	ToStringHelper (std::ostream &os, const signed char &v)

static std::ostream &	ToStringHelper (std::ostream &os, const unsigned char &v)

Detailed Description

The Wiener deconvolution image filter is designed to restore an image convolved with a blurring kernel while keeping noise enhancement to a minimum.

The Wiener filter aims to minimize noise enhancement induced by frequencies with low signal-to-noise ratio. The Wiener filter kernel is defined in the frequency domain as $W(\omega) = H^*(\omega) / (|H(\omega)|^2 + (1 / SNR(\omega)))$ where $H(\omega)$ is the Fourier transform of the blurring kernel with which the original image was convolved and the signal-to-noise ratio $SNR(\omega)$ . $SNR(\omega)$ is defined by $P_f(\omega) / P_n(\omega)$ where $P_f(\omega)$ is the power spectral density of the uncorrupted signal and $P_n(\omega)$ is the power spectral density of the noise. When applied to the input blurred image, this filter produces an estimate $\hat{f}(x)$ of the true underlying signal $f(x)$ that minimizes the expected error between $\hat{f}(x)$ and $f(x)$ .

This filter requires two inputs, the image to be deconvolved and the blurring kernel. These two inputs can be set using the methods SetInput() and SetKernelImage() , respectively.

The power spectral densities of the signal and noise are typically unavailable for a given problem. In particular, $P_f(\omega)$ cannot be computed from $f(x)$ because this unknown signal is precisely the signal that this filter aims to recover. Nevertheless, it is common for the noise to have a power spectral density that is flat or decreasing significantly more slowly than the power spectral density of a typical image as the frequency $\omega$ increases. Hence, $P_n(\omega)$ can typically be approximated with a constant, and this filter makes this assumption (see the NoiseVariance member variable). $P_f(\omega)$ , on the other hand, will vary with input. This filter computes the power spectral density of the input blurred image, subtracts the power spectral density of the noise, and uses the result as the estimate of $P_f(\omega)$ .

For further information on the Wiener deconvolution filter, please see "Digital Signal Processing" by Kenneth R. Castleman, Prentice Hall, 1995

Author: Gaetan Lehmann, Biologie du Developpement et de la Reproduction, INRA de Jouy-en-Josas, France

Chris Mullins, The University of North Carolina at Chapel Hill

Cory Quammen, The University of North Carolina at Chapel Hill

See also: itk::simple::WienerDeconvolution for the procedural interface; itk::WienerDeconvolutionImageFilter for the Doxygen on the original ITK class.

Definition at line 54 of file sitkWienerDeconvolutionImageFilter.h.

Member Typedef Documentation

typedef Image(Self::* itk::simple::WienerDeconvolutionImageFilter::MemberFunctionType) (const Image &image1, const Image &image2)

private

Setup for member function dispatching

Definition at line 132 of file sitkWienerDeconvolutionImageFilter.h.

typedef BasicPixelIDTypeList itk::simple::WienerDeconvolutionImageFilter::PixelIDTypeList

Define the pixels types supported by this filter

Definition at line 66 of file sitkWienerDeconvolutionImageFilter.h.

typedef WienerDeconvolutionImageFilter itk::simple::WienerDeconvolutionImageFilter::Self

Definition at line 56 of file sitkWienerDeconvolutionImageFilter.h.

Member Enumeration Documentation

enum itk::simple::WienerDeconvolutionImageFilter::BoundaryConditionType

Enumerator
ZERO_PAD
ZERO_FLUX_NEUMANN_PAD
PERIODIC_PAD

Definition at line 94 of file sitkWienerDeconvolutionImageFilter.h.

enum itk::simple::WienerDeconvolutionImageFilter::OutputRegionModeType

Enumerator
SAME
VALID

Definition at line 104 of file sitkWienerDeconvolutionImageFilter.h.

Constructor & Destructor Documentation

itk::simple::WienerDeconvolutionImageFilter::WienerDeconvolutionImageFilter ( )

Default Constructor that takes no arguments and initializes default parameters

itk::simple::WienerDeconvolutionImageFilter::~WienerDeconvolutionImageFilter ( )

Destructor

Member Function Documentation

Image itk::simple::WienerDeconvolutionImageFilter::Execute	(	const Image &	image1,
		const Image &	image2
	)

Execute the filter on the input images

Image itk::simple::WienerDeconvolutionImageFilter::Execute	(	const Image &	image1,
		const Image &	image2,
		double	noiseVariance,
		bool	normalize,
		WienerDeconvolutionImageFilter::BoundaryConditionType	boundaryCondition,
		WienerDeconvolutionImageFilter::OutputRegionModeType	outputRegionMode
	)