#include <itkPatchBasedDenoisingImageFilter.h>

Inheritance diagram for itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >:

Collaboration diagram for itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >:

Detailed Description

template<class TInputImage, class TOutputImage>
class itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >

Derived class implementing a specific patch-based denoising algorithm, as detailed below.

This class is derived from the base class PatchBasedDenoisingBaseImageFilter; please refer to the documentation of the base class first. This class implements a denoising filter that uses iterative non-local, or semi-local, weighted averaging of image patches for image denoising. The intensity at each pixel 'p' gets updated as a weighted average of intensities of a chosen subset of pixels from the image.

This class implements the denoising algorithm using a Gaussian kernel function for nonparametric density estimation. The class implements a scheme to automatically estimated the kernel bandwidth parameter (namely, sigma) using leave-one-out cross validation. It implements schemes for random sampling of patches non-locally (from the entire image) as well as semi-locally (from the spatial proximity of the pixel being denoised at the specific point in time). It implements a specific scheme for defining patch weights (mask) as described in Awate and Whitaker 2005 IEEE CVPR and 2006 IEEE TPAMI.

See Also: PatchBasedDenoisingBaseImageFilter

Definition at line 63 of file itkPatchBasedDenoisingImageFilter.h.

Classes
struct	ThreadDataStruct

struct	ThreadFilterStruct

Public Types
typedef BaseSamplerType::Pointer	BaseSamplerPointer

typedef itk::Statistics::RegionConstrainedSubsampler < PatchSampleType, InputImageRegionType >	BaseSamplerType

typedef SmartPointer< const Self >	ConstPointer

typedef FixedArray < PixelValueType, 3 >	EigenValuesArrayType

typedef std::vector < EigenValuesArrayType * >	EigenValuesCacheType

typedef std::vector < EigenVectorsMatrixType * >	EigenVectorsCacheType

typedef Matrix< PixelValueType, 3, 3 >	EigenVectorsMatrixType

typedef Superclass::InputImagePatchIterator	InputImagePatchIterator

typedef ImageRegionConstIterator < InputImageType >	InputImageRegionConstIteratorType

typedef InputImageType::RegionType	InputImageRegionType

typedef Superclass::InputImageType	InputImageType

typedef BaseSamplerType::InstanceIdentifier	InstanceIdentifier

typedef Superclass::ListAdaptorType	ListAdaptorType

typedef Superclass::OutputImagePointer	OutputImagePointer

typedef ImageRegionIterator < OutputImageType >	OutputImageRegionIteratorType

typedef Superclass::OutputImageType	OutputImageType

typedef Superclass::PatchRadiusType	PatchRadiusType

typedef ListAdaptorType	PatchSampleType

typedef Superclass::PatchWeightsType	PatchWeightsType

typedef Array< PixelValueType >	PixelArrayType

typedef Superclass::PixelType	PixelType

typedef Superclass::PixelValueType	PixelValueType

typedef SmartPointer< Self >	Pointer

typedef Array< RealValueType >	RealArrayType

typedef NumericTraits < PixelType >::RealType	RealType

typedef NumericTraits < PixelValueType >::RealType	RealValueType

typedef PatchBasedDenoisingImageFilter	Self

typedef Array< unsigned short >	ShortArrayType

typedef PatchBasedDenoisingBaseImageFilter < TInputImage, TOutputImage >	Superclass

Public Types inherited from itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >
typedef ZeroFluxNeumannBoundaryCondition < OutputImageType >	BoundaryConditionType

enum	ComponentSpaceType { EUCLIDEAN = 0, RIEMANNIAN = 1 }

typedef SmartPointer< const Self >	ConstPointer

enum	FilterStateType { UNINITIALIZED = 0, INITIALIZED = 1 }

typedef ConstNeighborhoodIterator < InputImageType, BoundaryConditionType >	InputImagePatchIterator

typedef TInputImage	InputImageType

typedef InputImageType::PixelType	InputPixelType

typedef typename::itk::Statistics::ImageToNeighborhoodSampleAdaptor < OutputImageType, BoundaryConditionType >	ListAdaptorType

enum	NoiseModelType { NOMODEL = 0, GAUSSIAN = 1, RICIAN = 2, POISSON = 3 }

typedef TOutputImage	OutputImageType

typedef OutputImageType::PixelType	OutputPixelType

typedef ListAdaptorType::NeighborhoodRadiusType	PatchRadiusType

typedef Array< float >	PatchWeightsType

typedef OutputPixelType	PixelType

typedef NumericTraits < PixelType >::ValueType	PixelValueType

typedef SmartPointer< Self >	Pointer

typedef PatchBasedDenoisingBaseImageFilter	Self

typedef ImageToImageFilter < TInputImage, TOutputImage >	Superclass

Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
typedef SmartPointer< const Self >	ConstPointer

typedef InputImageType::ConstPointer	InputImageConstPointer

typedef InputImageType::PixelType	InputImagePixelType

typedef InputImageType::Pointer	InputImagePointer

typedef InputImageType::RegionType	InputImageRegionType

typedef TInputImage	InputImageType

typedef Superclass::OutputImagePixelType	OutputImagePixelType

typedef Superclass::OutputImageRegionType	OutputImageRegionType

typedef SmartPointer< Self >	Pointer

typedef ImageToImageFilter	Self

typedef ImageSource< TOutputImage >	Superclass

Public Types inherited from itk::ImageSource< TOutputImage >
typedef SmartPointer< const Self >	ConstPointer

typedef Superclass::DataObjectIdentifierType	DataObjectIdentifierType

typedef DataObject::Pointer	DataObjectPointer

typedef Superclass::DataObjectPointerArraySizeType	DataObjectPointerArraySizeType

typedef OutputImageType::PixelType	OutputImagePixelType

typedef OutputImageType::Pointer	OutputImagePointer

typedef OutputImageType::RegionType	OutputImageRegionType

typedef TOutputImage	OutputImageType

typedef SmartPointer< Self >	Pointer

typedef ImageSource	Self

typedef ProcessObject	Superclass

Public Types inherited from itk::ProcessObject
typedef SmartPointer< const Self >	ConstPointer

typedef DataObject::DataObjectIdentifierType	DataObjectIdentifierType

typedef DataObject::Pointer	DataObjectPointer

typedef std::vector < DataObjectPointer >	DataObjectPointerArray

typedef DataObjectPointerArray::size_type	DataObjectPointerArraySizeType

typedef std::vector < DataObjectIdentifierType >	NameArray

typedef SmartPointer< Self >	Pointer

typedef ProcessObject	Self

typedef Object	Superclass

Public Types inherited from itk::Object
typedef SmartPointer< const Self >	ConstPointer

typedef SmartPointer< Self >	Pointer

typedef Object	Self

typedef LightObject	Superclass

Public Types inherited from itk::LightObject
typedef SmartPointer< const Self >	ConstPointer

typedef SmartPointer< Self >	Pointer

typedef LightObject	Self

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const

virtual const char *	GetNameOfClass () const

virtual RealType	GetNoiseSigma () const

void	SetNoiseSigma (const RealType &sigma)


virtual void	SetUseSmoothDiscPatchWeights (bool _arg)

virtual void	UseSmoothDiscPatchWeightsOn ()

virtual void	UseSmoothDiscPatchWeightsOff ()

virtual bool	GetUseSmoothDiscPatchWeights () const


void	SetKernelBandwidthSigma (const RealArrayType &kernelSigma)

virtual RealArrayType	GetKernelBandwidthSigma () const


virtual void	SetKernelBandwidthFractionPixelsForEstimation (double _arg)

virtual const double &	GetKernelBandwidthFractionPixelsForEstimation ()


virtual void	SetComputeConditionalDerivatives (bool _arg)

virtual void	ComputeConditionalDerivativesOn ()

virtual void	ComputeConditionalDerivativesOff ()

virtual bool	GetComputeConditionalDerivatives () const


virtual void	SetUseFastTensorComputations (bool _arg)

virtual void	UseFastTensorComputationsOn ()

virtual void	UseFastTensorComputationsOff ()

virtual bool	GetUseFastTensorComputations () const


virtual void	SetKernelBandwidthMultiplicationFactor (double _arg)

virtual const double &	GetKernelBandwidthMultiplicationFactor ()


virtual void	SetSampler (BaseSamplerType *_arg)

virtual BaseSamplerType *	GetModifiableSampler ()

virtual const BaseSamplerType *	GetSampler () const

Public Member Functions inherited from itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >
virtual const unsigned int &	GetElapsedIterations ()

PatchRadiusType	GetPatchDiameterInVoxels () const

PatchRadiusType::SizeValueType	GetPatchLengthInVoxels () const

PatchRadiusType	GetPatchRadiusInVoxels () const

PatchWeightsType	GetPatchWeights () const

void	SetPatchWeights (const PatchWeightsType &weights)

virtual void	SetStateToInitialized ()

virtual void	SetStateToUninitialized ()

virtual void	SetPatchRadius (unsigned int _arg)

virtual unsigned int	GetPatchRadius () const

virtual void	SetNoiseModel (NoiseModelType _arg)

virtual NoiseModelType	GetNoiseModel () const

virtual void	SetSmoothingWeight (double _arg)

virtual double	GetSmoothingWeight () const

virtual void	SetNoiseModelFidelityWeight (double _arg)

virtual double	GetNoiseModelFidelityWeight () const

virtual void	SetKernelBandwidthEstimation (bool _arg)

virtual void	KernelBandwidthEstimationOn ()

virtual void	KernelBandwidthEstimationOff ()

virtual bool	GetKernelBandwidthEstimation () const

virtual void	SetKernelBandwidthUpdateFrequency (unsigned int _arg)

virtual unsigned int	GetKernelBandwidthUpdateFrequency () const

virtual void	SetNumberOfIterations (unsigned int _arg)

virtual const unsigned int &	GetNumberOfIterations ()

virtual void	SetAlwaysTreatComponentsAsEuclidean (bool _arg)

virtual void	AlwaysTreatComponentsAsEuclideanOn ()

virtual void	AlwaysTreatComponentsAsEuclideanOff ()

virtual bool	GetAlwaysTreatComponentsAsEuclidean () const

virtual void	SetState (FilterStateType _arg)

virtual const FilterStateType &	GetState ()

virtual void	SetManualReinitialization (bool _arg)

virtual const bool &	GetManualReinitialization ()

virtual void	ManualReinitializationOn ()

virtual void	ManualReinitializationOff ()

Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
const InputImageType *	GetInput (void) const

const InputImageType *	GetInput (unsigned int idx) const

virtual void	PopBackInput ()

virtual void	PopFrontInput ()

virtual void	PushBackInput (const InputImageType *image)

virtual void	PushFrontInput (const InputImageType *image)

virtual void	SetInput (const InputImageType *image)

virtual void	SetInput (unsigned int, const TInputImage *image)

virtual void	SetCoordinateTolerance (double _arg)

virtual double	GetCoordinateTolerance () const

virtual void	SetDirectionTolerance (double _arg)

virtual double	GetDirectionTolerance () const

Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageType *	GetOutput (unsigned int idx)

virtual void	GraftNthOutput (unsigned int idx, DataObject *output)

virtual void	GraftOutput (DataObject *output)

virtual void	GraftOutput (const DataObjectIdentifierType &key, DataObject *output)

OutputImageType *	GetOutput (void)

const OutputImageType *	GetOutput (void) const

virtual ProcessObject::DataObjectPointer	MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx)

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

virtual void	AbortGenerateDataOn ()

virtual void	EnlargeOutputRequestedRegion (DataObject *)

virtual const bool &	GetAbortGenerateData ()

NameArray	GetInputNames () const

MultiThreader *	GetMultiThreader () const

DataObjectPointerArraySizeType	GetNumberOfIndexedInputs () const

DataObjectPointerArraySizeType	GetNumberOfInputs () const

DataObjectPointerArraySizeType	GetNumberOfOutputs () const

virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const

NameArray	GetOutputNames () const

virtual const float &	GetProgress ()

NameArray	GetRequiredInputNames () const

bool	HasInput (const DataObjectIdentifierType &key) const

bool	HasOutput (const DataObjectIdentifierType &key) const

virtual DataObjectPointer	MakeOutput (const DataObjectIdentifierType &)

virtual void	PrepareOutputs ()

virtual void	PropagateRequestedRegion (DataObject *output)

virtual void	ResetPipeline ()

virtual void	SetAbortGenerateData (bool _arg)

virtual void	SetProgress (float _arg)

virtual void	Update ()

virtual void	UpdateLargestPossibleRegion ()

virtual void	UpdateOutputData (DataObject *output)

virtual void	UpdateOutputInformation ()

void	UpdateProgress (float amount)

DataObjectPointerArray	GetInputs ()

DataObjectPointerArray	GetOutputs ()

DataObjectPointerArray	GetIndexedInputs ()

DataObjectPointerArray	GetIndexedOutputs ()

DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const

virtual void	SetReleaseDataFlag (bool flag)

virtual bool	GetReleaseDataFlag () const

void	ReleaseDataFlagOn ()

void	ReleaseDataFlagOff ()

virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)

virtual const bool &	GetReleaseDataBeforeUpdateFlag ()

virtual void	ReleaseDataBeforeUpdateFlagOn ()

virtual void	ReleaseDataBeforeUpdateFlagOff ()

virtual void	SetNumberOfThreads (ThreadIdType _arg)

virtual const ThreadIdType &	GetNumberOfThreads ()

Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)

unsigned long	AddObserver (const EventObject &event, Command *) const

virtual void	DebugOff () const

virtual void	DebugOn () const

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

MetaDataDictionary &	GetMetaDataDictionary (void)

const MetaDataDictionary &	GetMetaDataDictionary (void) const

virtual ModifiedTimeType	GetMTime () const

virtual const TimeStamp &	GetTimeStamp () const

bool	HasObserver (const EventObject &event) const

void	InvokeEvent (const EventObject &)

void	InvokeEvent (const EventObject &) const

virtual void	Modified () const

virtual void	Register () const

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag)

void	SetDebug (bool debugFlag) const

void	SetMetaDataDictionary (const MetaDataDictionary &rhs)

virtual void	SetReferenceCount (int)

virtual void	UnRegister () const

Public Member Functions inherited from itk::LightObject
virtual void	Delete ()

virtual int	GetReferenceCount () const

	itkCloneMacro (Self)

void	Print (std::ostream &os, Indent indent=0) const

Static Public Member Functions
static Pointer	New ()

Static Public Attributes
static const unsigned int	ImageDimension = Superclass::ImageDimension

static const unsigned int	MaxSigmaUpdateIterations = 20

Static Public Attributes inherited from itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >
static const unsigned int	ImageDimension = InputImageType::ImageDimension

Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static const unsigned int	InputImageDimension = TInputImage::ImageDimension

static const unsigned int	OutputImageDimension = TOutputImage::ImageDimension

Static Public Attributes inherited from itk::ImageSource< TOutputImage >
static const unsigned int	OutputImageDimension = TOutputImage::ImageDimension

Protected Member Functions
template<class RealT >
RealType	AddUpdate (const RealT &a, const RealType &b)

virtual void	AllocateUpdateBuffer ()

virtual void	ApplyUpdate ()

template<class PixelT >
void	ComputeDifferenceAndWeightedSquaredNorm (const PixelT &a, const PixelT &b, const RealArrayType &weight, bool useCachedComputations, SizeValueType cacheIndex, EigenValuesCacheType &eigenValsCache, EigenVectorsCacheType &eigenVecsCache, RealType &diff, RealArrayType &norm)

virtual RealType	ComputeGradientJointEntropy (InstanceIdentifier id, typename ListAdaptorType::Pointer &inList, BaseSamplerPointer &sampler, ThreadDataStruct &threadData)

virtual void	ComputeImageUpdate ()

virtual void	ComputeKernelBandwidthUpdate ()

void	ComputeMinMax (const Image< DiffusionTensor3D< PixelValueType >, ImageDimension > *img)

template<typename TImageType >
EnableIfC< IsSame< typename TImageType::PixelType, typename NumericTraits < typename TImageType::PixelType > ::ValueType >::Value >::Type	ComputeMinMax (const TImageType *img)

template<typename TImageType >
DisableIfC< IsSame< typename TImageType::PixelType, typename NumericTraits < typename TImageType::PixelType > ::ValueType >::Value >::Type	ComputeMinMax (const TImageType *img)

virtual void	CopyInputToOutput ()

virtual void	EmptyCaches ()

virtual void	EnforceConstraints ()

virtual void	GenerateInputRequestedRegion ()

template<typename T >
EnableIfC< IsSame< T, typename NumericTraits< T >::ValueType > ::Value, T >::Type	GetComponent (const T pix, unsigned int) const

template<typename T >
DisableIfC< IsSame< T, typename NumericTraits< T > ::ValueType >::Value, typename NumericTraits< T >::ValueType > ::Type	GetComponent (const T &pix, unsigned int idx) const

virtual ThreadDataStruct	GetThreadData (int threadId)

virtual void	Initialize ()

virtual void	InitializeIteration ()

virtual void	InitializeKernelSigma ()

virtual void	InitializePatchWeights ()

virtual void	InitializePatchWeightsSmoothDisc ()

	PatchBasedDenoisingImageFilter ()

virtual void	PostProcessOutput ()

virtual void	PrintSelf (std::ostream &os, Indent indent) const

virtual RealArrayType	ResolveSigmaUpdate ()

template<typename T >
void	SetComponent (T &pix, unsigned int, typename EnableIfC< IsSame< T, typename NumericTraits< T >::ValueType >::Value, RealValueType >::Type val) const

template<typename T >
void	SetComponent (T &pix, unsigned int idx, typename DisableIfC< IsSame< T, typename NumericTraits< T >::ValueType >::Value, RealValueType >::Type val) const

virtual void	SetThreadData (int threadId, const ThreadDataStruct &data)

virtual void	ThreadedApplyUpdate (const InputImageRegionType &regionToProcess, const int)

virtual ThreadDataStruct	ThreadedComputeImageUpdate (const InputImageRegionType &regionToProcess, const int threadId, ThreadDataStruct threadData)

virtual ThreadDataStruct	ThreadedComputeSigmaUpdate (const InputImageRegionType &regionToProcess, const int, ThreadDataStruct threadData)

	~PatchBasedDenoisingImageFilter ()


void	ComputeDifferenceAndWeightedSquaredNorm (const DiffusionTensor3D< PixelValueType > &a, const DiffusionTensor3D< PixelValueType > &b, const RealArrayType &weight, bool useCachedComputations, SizeValueType cacheIndex, EigenValuesCacheType &eigenValsCache, EigenVectorsCacheType &eigenVecsCache, RealType &diff, RealArrayType &norm)


RealType	AddUpdate (const DiffusionTensor3D< RealValueType > &a, const RealType &b)

Protected Member Functions inherited from itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >
ComponentSpaceType	DetermineComponentSpace (const RGBPixel< PixelValueType > &)

ComponentSpaceType	DetermineComponentSpace (const RGBAPixel< PixelValueType > &)

ComponentSpaceType	DetermineComponentSpace (const DiffusionTensor3D< PixelValueType > &)

template<class PixelT >
ComponentSpaceType	DetermineComponentSpace (const PixelT &)

virtual void	GenerateData ()

virtual bool	Halt ()

	PatchBasedDenoisingBaseImageFilter ()

virtual void	PreProcessInput ()

virtual void	SetElapsedIterations (unsigned int _arg)

virtual bool	ThreadedHalt (void *)

	~PatchBasedDenoisingBaseImageFilter ()

Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
virtual void	CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)

virtual void	CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)

	ImageToImageFilter ()

virtual void	VerifyInputInformation ()

	~ImageToImageFilter ()

void	PushBackInput (const DataObject *input)

void	PushFrontInput (const DataObject *input)

Protected Member Functions inherited from itk::ImageSource< TOutputImage >
virtual void	AfterThreadedGenerateData ()

virtual void	AllocateOutputs ()

virtual void	BeforeThreadedGenerateData ()

virtual const ImageRegionSplitterBase *	GetImageRegionSplitter (void) const

	ImageSource ()

virtual unsigned int	SplitRequestedRegion (unsigned int i, unsigned int num, OutputImageRegionType &splitRegion)

virtual void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)

virtual	~ImageSource ()

Protected Member Functions inherited from itk::ProcessObject
virtual void	AddInput (DataObject *input)

virtual void	AddOutput (DataObject *output)

virtual void	CacheInputReleaseDataFlags ()

virtual void	GenerateOutputInformation ()

virtual void	GenerateOutputRequestedRegion (DataObject *output)

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs ()

bool	IsIndexedInputName (const DataObjectIdentifierType &) const

bool	IsIndexedOutputName (const DataObjectIdentifierType &) const

	itkLegacyMacro (virtual void RemoveOutput(DataObject *output))

	itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num))

	itkLegacyMacro (virtual void RemoveInput(DataObject *input))

	itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))

DataObjectPointerArraySizeType	MakeIndexFromInputName (const DataObjectIdentifierType &name) const

DataObjectPointerArraySizeType	MakeIndexFromOutputName (const DataObjectIdentifierType &name) const

DataObjectIdentifierType	MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const

DataObjectIdentifierType	MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const

	ProcessObject ()

virtual void	PropagateResetPipeline ()

virtual void	ReleaseInputs ()

virtual void	RemoveInput (const DataObjectIdentifierType &key)

virtual void	RemoveInput (DataObjectPointerArraySizeType)

virtual void	RemoveOutput (const DataObjectIdentifierType &key)

virtual void	RemoveOutput (DataObjectPointerArraySizeType idx)

virtual void	RestoreInputReleaseDataFlags ()

virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)

virtual void	SetNthInput (DataObjectPointerArraySizeType num, DataObject *input)

virtual void	SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output)

void	SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)

void	SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)

virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)

virtual void	SetOutput (const DataObjectIdentifierType &key, DataObject *output)

virtual void	SetPrimaryInput (DataObject *input)

virtual void	SetPrimaryOutput (DataObject *output)

virtual void	VerifyPreconditions ()

	~ProcessObject ()

DataObject *	GetInput (const DataObjectIdentifierType &key)

const DataObject *	GetInput (const DataObjectIdentifierType &key) const

DataObject *	GetInput (DataObjectPointerArraySizeType idx)

const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const

DataObject *	GetPrimaryInput ()

const DataObject *	GetPrimaryInput () const

virtual void	SetPrimaryInputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryInputName (void) const

virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs ()

bool	AddRequiredInputName (const DataObjectIdentifierType &)

bool	AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

bool	RemoveRequiredInputName (const DataObjectIdentifierType &)

bool	IsRequiredInputName (const DataObjectIdentifierType &) const

void	SetRequiredInputNames (const NameArray &)

DataObject *	GetOutput (const DataObjectIdentifierType &key)

const DataObject *	GetOutput (const DataObjectIdentifierType &key) const

virtual void	SetPrimaryOutputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryOutputName (void) const

DataObject *	GetOutput (DataObjectPointerArraySizeType idx)

const DataObject *	GetOutput (DataObjectPointerArraySizeType idx) const

DataObject *	GetPrimaryOutput ()

const DataObject *	GetPrimaryOutput () const

Protected Member Functions inherited from itk::Object
	Object ()

bool	PrintObservers (std::ostream &os, Indent indent) const

virtual void	SetTimeStamp (const TimeStamp &time)

virtual	~Object ()

Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const

	LightObject ()

virtual void	PrintHeader (std::ostream &os, Indent indent) const

virtual void	PrintTrailer (std::ostream &os, Indent indent) const

virtual	~LightObject ()

Protected Attributes
bool	m_ComputeConditionalDerivatives

PixelArrayType	m_ImageMax

PixelArrayType	m_ImageMin

RealArrayType	m_IntensityRescaleInvFactor

double	m_KernelBandwidthFractionPixelsForEstimation

double	m_KernelBandwidthMultiplicationFactor

RealArrayType	m_KernelBandwidthSigma

bool	m_KernelBandwidthSigmaIsSet

double	m_MinProbability

double	m_MinSigma

RealType	m_NoiseSigma

bool	m_NoiseSigmaIsSet

RealType	m_NoiseSigmaSquared

unsigned int	m_NumIndependentComponents

unsigned int	m_NumPixelComponents

BaseSamplerPointer	m_Sampler

ListAdaptorType::Pointer	m_SearchSpaceList

ShortArrayType	m_SigmaConverged

double	m_SigmaUpdateConvergenceTolerance

unsigned int	m_SigmaUpdateDecimationFactor

std::vector< ThreadDataStruct >	m_ThreadData

unsigned int	m_TotalNumberPixels

OutputImageType::Pointer	m_UpdateBuffer

bool	m_UseFastTensorComputations

bool	m_UseSmoothDiscPatchWeights

PixelType	m_ZeroPixel

Protected Attributes inherited from itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >
bool	m_AlwaysTreatComponentsAsEuclidean

ComponentSpaceType	m_ComponentSpace

unsigned int	m_ElapsedIterations

const InputImageType *	m_InputImage

bool	m_KernelBandwidthEstimation

unsigned int	m_KernelBandwidthUpdateFrequency

bool	m_ManualReinitialization

NoiseModelType	m_NoiseModel

double	m_NoiseModelFidelityWeight

unsigned int	m_NumberOfIterations

OutputImageType *	m_OutputImage

unsigned int	m_PatchRadius

PatchWeightsType	m_PatchWeights

double	m_SmoothingWeight

Private Member Functions
RealType	AddEuclideanUpdate (const RealType &a, const RealType &b)

RealType	AddExponentialMapUpdate (const DiffusionTensor3D< RealValueType > &spdMatrix, const DiffusionTensor3D< RealValueType > &symMatrix)

template<typename TensorValueT >
void	Compute3x3EigenAnalysis (const DiffusionTensor3D< TensorValueT > &spdMatrix, FixedArray< TensorValueT, 3 > &eigenVals, Matrix< TensorValueT, 3, 3 > &eigenVecs)

void	ComputeLogMapAndWeightedSquaredGeodesicDifference (const DiffusionTensor3D< PixelValueType > &spdMatrixA, const DiffusionTensor3D< PixelValueType > &spdMatrixB, const RealArrayType &weight, bool useCachedComputations, SizeValueType cacheIndex, EigenValuesCacheType &eigenValsCache, EigenVectorsCacheType &eigenVecsCache, RealType &symMatrixLogMap, RealArrayType &geodesicDist)

void	ComputeSignedEuclideanDifferenceAndWeightedSquaredNorm (const PixelType &a, const PixelType &b, const RealArrayType &weight, bool useCachedComputations, SizeValueType cacheIndex, EigenValuesCacheType &eigenValsCache, EigenVectorsCacheType &eigenVecsCache, RealType &diff, RealArrayType &norm)

template<typename TInputImageType >
void	DispatchedArrayMinMax (const TInputImageType *img)

template<typename TInputImageType >
void	DispatchedMinMax (const TInputImageType *img)

template<typename TInputImageType >
void	DispatchedRiemannianMinMax (const TInputImageType *img)

template<typename TInputImageType >
void	DispatchedVectorMinMax (const TInputImageType *img)

void	operator= (const Self &)

	PatchBasedDenoisingImageFilter (const Self &)

virtual void	ResolveRiemannianMinMax ()

ThreadDataStruct	ThreadedRiemannianMinMax (const InputImageRegionType &regionToProcess, const int, const InputImageType *img, ThreadDataStruct threadData)

Static Private Member Functions
static ITK_THREAD_RETURN_TYPE	ApplyUpdateThreaderCallback (void *arg)

static ITK_THREAD_RETURN_TYPE	ComputeImageUpdateThreaderCallback (void *arg)

static ITK_THREAD_RETURN_TYPE	ComputeSigmaUpdateThreaderCallback (void *arg)

static ITK_THREAD_RETURN_TYPE	RiemannianMinMaxThreaderCallback (void *arg)

Additional Inherited Members
Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension) >	InputToOutputRegionCopierType

typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) >	OutputToInputRegionCopierType

Static Protected Member Functions inherited from itk::ImageSource< TOutputImage >
static const ImageRegionSplitterBase *	GetGlobalDefaultSplitter ()

static ITK_THREAD_RETURN_TYPE	ThreaderCallback (void *arg)

Member Typedef Documentation

template<class TInputImage , class TOutputImage >

typedef BaseSamplerType::Pointer itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::BaseSamplerPointer

Definition at line 116 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef itk::Statistics::RegionConstrainedSubsampler< PatchSampleType, InputImageRegionType > itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::BaseSamplerType

Type definitions for delegate classes.

Definition at line 115 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef SmartPointer<const Self> itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ConstPointer

Definition at line 71 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef FixedArray< PixelValueType, 3 > itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::EigenValuesArrayType

Type definitions for Riemannian LogMap Eigensystem. Since the LogMap computations are only valid for DiffusionTensor3D pixels right now which always have a dimension of 3x3.

Definition at line 124 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef std::vector<EigenValuesArrayType*> itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::EigenValuesCacheType

Definition at line 126 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef std::vector<EigenVectorsMatrixType*> itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::EigenVectorsCacheType

Definition at line 127 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Matrix< PixelValueType, 3, 3 > itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::EigenVectorsMatrixType

Definition at line 125 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Superclass::InputImagePatchIterator itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::InputImagePatchIterator

Definition at line 109 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef ImageRegionConstIterator<InputImageType> itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::InputImageRegionConstIteratorType

Definition at line 93 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef InputImageType::RegionType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::InputImageRegionType

Type definition for the input image region and size type.

Definition at line 89 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Superclass::InputImageType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::InputImageType

Type definition for the input image.

Definition at line 78 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef BaseSamplerType::InstanceIdentifier itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::InstanceIdentifier

Definition at line 117 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Superclass::ListAdaptorType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ListAdaptorType

Type definition for patch weights type.

Definition at line 107 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Superclass::OutputImagePointer itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::OutputImagePointer

Definition at line 72 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef ImageRegionIterator<OutputImageType> itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::OutputImageRegionIteratorType

Type definition for the input image region iterator

Definition at line 92 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Superclass::OutputImageType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::OutputImageType

Definition at line 82 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Superclass::PatchRadiusType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::PatchRadiusType

Definition at line 108 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef ListAdaptorType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::PatchSampleType

Definition at line 110 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Superclass::PatchWeightsType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::PatchWeightsType

Definition at line 111 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Array<PixelValueType> itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::PixelArrayType

Definition at line 102 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Superclass::PixelType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::PixelType

Type definition for the input and output pixel types. Output pixel type will be used in computations.

Definition at line 97 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Superclass::PixelValueType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::PixelValueType

Definition at line 98 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef SmartPointer<Self> itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::Pointer

Definition at line 70 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Array<RealValueType> itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::RealArrayType

Definition at line 103 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef NumericTraits< PixelType >::RealType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::RealType

Definition at line 100 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef NumericTraits< PixelValueType >::RealType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::RealValueType

Definition at line 101 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef PatchBasedDenoisingImageFilter itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::Self

Standard class typedefs.

Definition at line 68 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Array<unsigned short> itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ShortArrayType

Definition at line 104 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef PatchBasedDenoisingBaseImageFilter<TInputImage, TOutputImage> itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::Superclass

Definition at line 69 of file itkPatchBasedDenoisingImageFilter.h.

Constructor & Destructor Documentation

template<class TInputImage , class TOutputImage >

itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::PatchBasedDenoisingImageFilter ( )

protected

template<class TInputImage , class TOutputImage >

itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::~PatchBasedDenoisingImageFilter ( )

protected

template<class TInputImage , class TOutputImage >

itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::PatchBasedDenoisingImageFilter ( const Self & )

private

Member Function Documentation

template<class TInputImage , class TOutputImage >

RealType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::AddEuclideanUpdate	(	const RealType &	a,
		const RealType &	b
	)

private

template<class TInputImage , class TOutputImage >

RealType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::AddExponentialMapUpdate	(	const DiffusionTensor3D< RealValueType > &	spdMatrix,
		const DiffusionTensor3D< RealValueType > &	symMatrix
	)

private

Returns the Exp map

template<class TInputImage , class TOutputImage >

RealType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::AddUpdate	(	const DiffusionTensor3D< RealValueType > &	a,
		const RealType &	b
	)

inlineprotected

Update a by adding b. In Riemannian space, b is in the tangent space of a.

Definition at line 373 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

template<class RealT >

RealType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::AddUpdate	(	const RealT &	a,
		const RealType &	b
	)

inlineprotected

Definition at line 388 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::AllocateUpdateBuffer ( )

protectedvirtual

Allocate memory for a temporary update container in the subclass

Implements itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ApplyUpdate ( )

protectedvirtual

Implements itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

static ITK_THREAD_RETURN_TYPE itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ApplyUpdateThreaderCallback ( void * arg )

staticprivate

This callback method uses ImageSource::SplitRequestedRegion to acquire a region which it then passes to ThreadedApplyUpdate for processing.

template<class TInputImage , class TOutputImage >

template<typename TensorValueT >

void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::Compute3x3EigenAnalysis	(	const DiffusionTensor3D< TensorValueT > &	spdMatrix,
		FixedArray< TensorValueT, 3 > &	eigenVals,
		Matrix< TensorValueT, 3, 3 > &	eigenVecs
	)

private

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ComputeConditionalDerivativesOff ( )

virtual

Set/Get flag indicating whether conditional derivatives should be used estimating sigma.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ComputeConditionalDerivativesOn ( )

virtual

Set/Get flag indicating whether conditional derivatives should be used estimating sigma.

template<class TInputImage , class TOutputImage >

void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ComputeDifferenceAndWeightedSquaredNorm	(	const DiffusionTensor3D< PixelValueType > &	a,
		const DiffusionTensor3D< PixelValueType > &	b,
		const RealArrayType &	weight,
		bool	useCachedComputations,
		SizeValueType	cacheIndex,
		EigenValuesCacheType &	eigenValsCache,
		EigenVectorsCacheType &	eigenVecsCache,
		RealType &	diff,
		RealArrayType &	norm
	)

inlineprotected

Compute the signed difference a-b and the weighted squared distance between a and b. Do the computation in either Euclidean or Riemannian space depending on pixel type. The cache is used when the first argument is repeatedly passed into ComputeLogMap since the eigen analysis will already have been computed for that pixel.

Definition at line 328 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

template<class PixelT >

void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ComputeDifferenceAndWeightedSquaredNorm	(	const PixelT &	a,
		const PixelT &	b,
		const RealArrayType &	weight,
		bool	useCachedComputations,
		SizeValueType	cacheIndex,
		EigenValuesCacheType &	eigenValsCache,
		EigenVectorsCacheType &	eigenVecsCache,
		RealType &	diff,
		RealArrayType &	norm
	)

inlineprotected

Definition at line 355 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

virtual RealType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ComputeGradientJointEntropy	(	InstanceIdentifier	id,
		typename ListAdaptorType::Pointer &	inList,
		BaseSamplerPointer &	sampler,
		ThreadDataStruct &	threadData
	)

protectedvirtual

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ComputeImageUpdate ( )

protectedvirtual

Perform one iteration of image denoising.

Implements itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

static ITK_THREAD_RETURN_TYPE itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ComputeImageUpdateThreaderCallback ( void * arg )

staticprivate

This callback method uses ImageSource::SplitRequestedRegion to acquire a region which it then passes to ComputeImageUpdate for processing.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ComputeKernelBandwidthUpdate ( )

protectedvirtual

Automatically estimate kernel bandwidth from the image data.

Implements itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ComputeLogMapAndWeightedSquaredGeodesicDifference	(	const DiffusionTensor3D< PixelValueType > &	spdMatrixA,
		const DiffusionTensor3D< PixelValueType > &	spdMatrixB,
		const RealArrayType &	weight,
		bool	useCachedComputations,
		SizeValueType	cacheIndex,
		EigenValuesCacheType &	eigenValsCache,
		EigenVectorsCacheType &	eigenVecsCache,
		RealType &	symMatrixLogMap,
		RealArrayType &	geodesicDist
	)

private

Returns the Log map in the tangent space of spdMatrixA.

template<class TInputImage , class TOutputImage >

void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ComputeMinMax ( const Image< DiffusionTensor3D< PixelValueType >, ImageDimension > * img )

inlineprotected

Compute the Minimum and Maximum pixel in the image for each independent component

Definition at line 290 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

template<typename TImageType >

EnableIfC< IsSame<typename TImageType::PixelType, typename NumericTraits<typename TImageType::PixelType>::ValueType>::Value >::Type itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ComputeMinMax ( const TImageType * img )

inlineprotected

Definition at line 306 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

template<typename TImageType >

DisableIfC< IsSame<typename TImageType::PixelType, typename NumericTraits<typename TImageType::PixelType>::ValueType>::Value >::Type itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ComputeMinMax ( const TImageType * img )

inlineprotected

Definition at line 315 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

static ITK_THREAD_RETURN_TYPE itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ComputeSigmaUpdateThreaderCallback ( void * arg )

staticprivate

This callback method uses ImageSource::SplitRequestedRegion to acquire an output region that it passes to ComputeSigma for processing.

template<class TInputImage , class TOutputImage >

void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ComputeSignedEuclideanDifferenceAndWeightedSquaredNorm	(	const PixelType &	a,
		const PixelType &	b,
		const RealArrayType &	weight,
		bool	useCachedComputations,
		SizeValueType	cacheIndex,
		EigenValuesCacheType &	eigenValsCache,
		EigenVectorsCacheType &	eigenVecsCache,
		RealType &	diff,
		RealArrayType &	norm
	)

private

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::CopyInputToOutput ( )

protectedvirtual

Implements itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

virtual::itk::LightObject::Pointer itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::CreateAnother ( void ) const

virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

template<class TInputImage , class TOutputImage >

template<typename TInputImageType >

void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::DispatchedArrayMinMax ( const TInputImageType * img )

private

template<class TInputImage , class TOutputImage >

template<typename TInputImageType >

void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::DispatchedMinMax ( const TInputImageType * img )

private

template<class TInputImage , class TOutputImage >

template<typename TInputImageType >

void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::DispatchedRiemannianMinMax ( const TInputImageType * img )

private

template<class TInputImage , class TOutputImage >

template<typename TInputImageType >

void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::DispatchedVectorMinMax ( const TInputImageType * img )

private

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::EmptyCaches ( )

protectedvirtual

Clean up Eigensystem caches

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::EnforceConstraints ( )

protectedvirtual

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion ( )

protectedvirtual

What is the input requested region that is required to produce the output requested region? The base assumption for image processing filters is that the input requested region can be set to match the output requested region. If a filter requires more input (for instance a filter that uses neighborhoods needs more input than output to avoid introducing artificial boundary conditions) or less input (for instance a magnify filter) will have to override this method. In doing so, it should call its superclass' implementation as its first step. Note that imaging filters operate differently than the classes to this point in the class hierarchy. Up till now, the base assumption has been that the largest possible region will be requested of the input.

This implementation of GenerateInputRequestedRegion() only processes the inputs that are a subclass of the ImageBase<InputImageDimension>. If an input is another type of DataObject (including an Image of a different dimension), they are skipped by this method. The subclasses of ImageToImageFilter are responsible for providing an implementation of GenerateInputRequestedRegion() when there are multiple inputs of different types.

See Also: ProcessObject::GenerateInputRequestedRegion(), ImageSource::GenerateInputRequestedRegion()

Reimplemented from itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

template<typename T >

EnableIfC< IsSame<T, typename NumericTraits<T>::ValueType>::Value, T >::Type itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::GetComponent	(	const T	pix,
		unsigned	int
	)		const

inlineprotected

A method to generically get a component.

The same function name can be used to generically access for scalars and array-like types. For scalar types the idx parameter is ignored.

Definition at line 243 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

template<typename T >

DisableIfC< IsSame<T, typename NumericTraits<T>::ValueType>::Value, typename NumericTraits<T>::ValueType>::Type itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::GetComponent	(	const T &	pix,
		unsigned int	idx
	)		const

inlineprotected

Definition at line 259 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

virtual bool itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::GetComputeConditionalDerivatives ( ) const

virtual

Set/Get flag indicating whether conditional derivatives should be used estimating sigma.

template<class TInputImage , class TOutputImage >

virtual const double& itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::GetKernelBandwidthFractionPixelsForEstimation ( )

virtual

Set/Get the fraction of the image to use for kernel bandwidth sigma estimation. To reduce the computational burden for computing sigma, a small random fraction of the image pixels can be used.

template<class TInputImage , class TOutputImage >

virtual const double& itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::GetKernelBandwidthMultiplicationFactor ( )

virtual

Set/Get the kernel bandwidth sigma multiplication factor used to modify the automatically-estimated kernel bandwidth sigma. At times, it may be desirable to modify the value of the automatically-estimated sigma. Typically, this number isn't very far from 1. Note: This is used only when KernelBandwidthEstimation is True/On.

template<class TInputImage , class TOutputImage >

virtual RealArrayType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::GetKernelBandwidthSigma ( ) const

virtual

Set/Get initial kernel bandwidth estimate. To prevent the class from automatically modifying this estimate, set KernelBandwidthEstimation to false in the base class.

template<class TInputImage , class TOutputImage >

virtual BaseSamplerType* itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::GetModifiableSampler ( )

virtual

Set/Get the class used for creating a subsample of patches.

template<class TInputImage , class TOutputImage >

virtual const char* itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

virtual RealType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::GetNoiseSigma ( ) const

virtual

template<class TInputImage , class TOutputImage >

virtual const BaseSamplerType* itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::GetSampler ( ) const

virtual

Set/Get the class used for creating a subsample of patches.

template<class TInputImage , class TOutputImage >

virtual ThreadDataStruct itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::GetThreadData ( int threadId )

protectedvirtual

template<class TInputImage , class TOutputImage >

virtual bool itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::GetUseFastTensorComputations ( ) const

virtual

Set/Get flag indicating whether the fast algorithm for tensor computations should be used.

 Specifically, when this flag is true (default) or On, a faster implementation of the 3x3
 symmetric positive-definite eigensystem analysys will be used. See
 Hasan KM, Basser PJ, Parker DL, Alexander AL.
 Analytical computation of the eigenvalues and eigenvectors in DT-MRI.
 J Magn Reson 2001; 152: 41–47.
 This faster algorithm may be slightly less accurate and possibly less stable in the presence
 of noise.  So far in practice it has been shown to work well.

 However, you may want to turn this option off if you have concerns about numerical
 performance.

template<class TInputImage , class TOutputImage >

virtual bool itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::GetUseSmoothDiscPatchWeights ( ) const

virtual

Set/Get flag indicating whether smooth-disc patch weights should be used. If this flag is true, the smooth-disc patch weights will override any weights provided via the SetPatchWeights method.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::Initialize ( )

protectedvirtual

Reimplemented from itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::InitializeIteration ( )

protectedvirtual

Reimplemented from itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::InitializeKernelSigma ( )

protectedvirtual

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::InitializePatchWeights ( )

protectedvirtual

Allocate memory and initialize patch weights.

Reimplemented from itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::InitializePatchWeightsSmoothDisc ( )

protectedvirtual

template<class TInputImage , class TOutputImage >

static Pointer itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::New ( )

static

Method for creation through the object factory.

template<class TInputImage , class TOutputImage >

void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::operator= ( const Self & )

private

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::PostProcessOutput ( )

protectedvirtual

Reimplemented from itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)		const

protectedvirtual

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ResolveRiemannianMinMax ( )

privatevirtual

template<class TInputImage , class TOutputImage >

virtual RealArrayType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ResolveSigmaUpdate ( )

protectedvirtual

template<class TInputImage , class TOutputImage >

static ITK_THREAD_RETURN_TYPE itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::RiemannianMinMaxThreaderCallback ( void * arg )

staticprivate

This callback method uses ImageSource::SplitRequestedRegion to acquire a region which it then passes to ThreadedRiemannianMinMax for processing.

template<class TInputImage , class TOutputImage >

template<typename T >

void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::SetComponent	(	T &	pix,
		unsigned	int,
		typename EnableIfC< IsSame< T, typename NumericTraits< T >::ValueType >::Value, RealValueType >::Type	val
	)		const

inlineprotected

A method to generically set a component.

Definition at line 268 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

template<typename T >

void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::SetComponent	(	T &	pix,
		unsigned int	idx,
		typename DisableIfC< IsSame< T, typename NumericTraits< T >::ValueType >::Value, RealValueType >::Type	val
	)		const

inlineprotected

Definition at line 278 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::SetComputeConditionalDerivatives ( bool _arg )

virtual

Set/Get flag indicating whether conditional derivatives should be used estimating sigma.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::SetKernelBandwidthFractionPixelsForEstimation ( double _arg )

virtual

Set/Get the fraction of the image to use for kernel bandwidth sigma estimation. To reduce the computational burden for computing sigma, a small random fraction of the image pixels can be used.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::SetKernelBandwidthMultiplicationFactor ( double _arg )

virtual

Set/Get the kernel bandwidth sigma multiplication factor used to modify the automatically-estimated kernel bandwidth sigma. At times, it may be desirable to modify the value of the automatically-estimated sigma. Typically, this number isn't very far from 1. Note: This is used only when KernelBandwidthEstimation is True/On.

template<class TInputImage , class TOutputImage >

void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::SetKernelBandwidthSigma ( const RealArrayType & kernelSigma )

Set/Get initial kernel bandwidth estimate. To prevent the class from automatically modifying this estimate, set KernelBandwidthEstimation to false in the base class.

template<class TInputImage , class TOutputImage >

void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::SetNoiseSigma ( const RealType & sigma )

Set/Get the noise sigma. Used by the noise model where appropriate, defaults to 5% of the image intensity range

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::SetSampler ( BaseSamplerType * _arg )

virtual

Set/Get the class used for creating a subsample of patches.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::SetThreadData	(	int	threadId,
		const ThreadDataStruct &	data
	)

protectedvirtual

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::SetUseFastTensorComputations ( bool _arg )

virtual

Set/Get flag indicating whether the fast algorithm for tensor computations should be used.

 Specifically, when this flag is true (default) or On, a faster implementation of the 3x3
 symmetric positive-definite eigensystem analysys will be used. See
 Hasan KM, Basser PJ, Parker DL, Alexander AL.
 Analytical computation of the eigenvalues and eigenvectors in DT-MRI.
 J Magn Reson 2001; 152: 41–47.
 This faster algorithm may be slightly less accurate and possibly less stable in the presence
 of noise.  So far in practice it has been shown to work well.

 However, you may want to turn this option off if you have concerns about numerical
 performance.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::SetUseSmoothDiscPatchWeights ( bool _arg )

virtual

Set/Get flag indicating whether smooth-disc patch weights should be used. If this flag is true, the smooth-disc patch weights will override any weights provided via the SetPatchWeights method.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ThreadedApplyUpdate	(	const InputImageRegionType &	regionToProcess,
		const int
	)

protectedvirtual

template<class TInputImage , class TOutputImage >

virtual ThreadDataStruct itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ThreadedComputeImageUpdate	(	const InputImageRegionType &	regionToProcess,
		const int	threadId,
		ThreadDataStruct	threadData
	)

protectedvirtual

template<class TInputImage , class TOutputImage >

virtual ThreadDataStruct itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ThreadedComputeSigmaUpdate	(	const InputImageRegionType &	regionToProcess,
		const int	,
		ThreadDataStruct	threadData
	)

protectedvirtual

template<class TInputImage , class TOutputImage >

ThreadDataStruct itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ThreadedRiemannianMinMax	(	const InputImageRegionType &	regionToProcess,
		const int	,
		const InputImageType *	img,
		ThreadDataStruct	threadData
	)

private

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::UseFastTensorComputationsOff ( )

virtual

Set/Get flag indicating whether the fast algorithm for tensor computations should be used.

 Specifically, when this flag is true (default) or On, a faster implementation of the 3x3
 symmetric positive-definite eigensystem analysys will be used. See
 Hasan KM, Basser PJ, Parker DL, Alexander AL.
 Analytical computation of the eigenvalues and eigenvectors in DT-MRI.
 J Magn Reson 2001; 152: 41–47.
 This faster algorithm may be slightly less accurate and possibly less stable in the presence
 of noise.  So far in practice it has been shown to work well.

 However, you may want to turn this option off if you have concerns about numerical
 performance.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::UseFastTensorComputationsOn ( )

virtual

Set/Get flag indicating whether the fast algorithm for tensor computations should be used.

 Specifically, when this flag is true (default) or On, a faster implementation of the 3x3
 symmetric positive-definite eigensystem analysys will be used. See
 Hasan KM, Basser PJ, Parker DL, Alexander AL.
 Analytical computation of the eigenvalues and eigenvectors in DT-MRI.
 J Magn Reson 2001; 152: 41–47.
 This faster algorithm may be slightly less accurate and possibly less stable in the presence
 of noise.  So far in practice it has been shown to work well.

 However, you may want to turn this option off if you have concerns about numerical
 performance.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::UseSmoothDiscPatchWeightsOff ( )

virtual

Set/Get flag indicating whether smooth-disc patch weights should be used. If this flag is true, the smooth-disc patch weights will override any weights provided via the SetPatchWeights method.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::UseSmoothDiscPatchWeightsOn ( )

virtual

Set/Get flag indicating whether smooth-disc patch weights should be used. If this flag is true, the smooth-disc patch weights will override any weights provided via the SetPatchWeights method.

Member Data Documentation

template<class TInputImage , class TOutputImage >

const unsigned int itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::ImageDimension = Superclass::ImageDimension

static

Image dimension, assumed to be the same for input and output data

Definition at line 86 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

bool itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_ComputeConditionalDerivatives

protected

Definition at line 458 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

PixelArrayType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_ImageMax

protected

Definition at line 456 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

PixelArrayType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_ImageMin

protected

Definition at line 455 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

RealArrayType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_IntensityRescaleInvFactor

protected

Definition at line 453 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

double itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_KernelBandwidthFractionPixelsForEstimation

protected

Definition at line 457 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

double itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_KernelBandwidthMultiplicationFactor

protected

Definition at line 464 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

RealArrayType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_KernelBandwidthSigma

protected

Definition at line 451 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

bool itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_KernelBandwidthSigmaIsSet

protected

Definition at line 452 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

double itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_MinProbability

protected

Definition at line 460 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

double itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_MinSigma

protected

Definition at line 459 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

RealType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_NoiseSigma

protected

Definition at line 466 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

bool itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_NoiseSigmaIsSet

protected

Definition at line 468 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

RealType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_NoiseSigmaSquared

protected

Definition at line 467 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

unsigned int itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_NumIndependentComponents

protected

Definition at line 444 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

unsigned int itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_NumPixelComponents

protected

Definition at line 443 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

BaseSamplerPointer itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_Sampler

protected

Definition at line 470 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

ListAdaptorType::Pointer itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_SearchSpaceList

protected

Definition at line 471 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

ShortArrayType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_SigmaConverged

protected

Definition at line 463 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

double itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_SigmaUpdateConvergenceTolerance

protected

Definition at line 462 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

unsigned int itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_SigmaUpdateDecimationFactor

protected

Definition at line 461 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

std::vector<ThreadDataStruct> itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_ThreadData

protected

Definition at line 438 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

unsigned int itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_TotalNumberPixels

protected

Definition at line 445 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

OutputImageType::Pointer itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_UpdateBuffer

protected

The buffer that holds the updates for an iteration of the algorithm.

Definition at line 441 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

bool itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_UseFastTensorComputations

protected

Definition at line 449 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

bool itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_UseSmoothDiscPatchWeights

protected

Definition at line 447 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

PixelType itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::m_ZeroPixel

protected

Definition at line 454 of file itkPatchBasedDenoisingImageFilter.h.

template<class TInputImage , class TOutputImage >

const unsigned int itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >::MaxSigmaUpdateIterations = 20

static

Maximum number of Newton-Raphson iterations for sigma update.

Definition at line 194 of file itkPatchBasedDenoisingImageFilter.h.

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

itkPatchBasedDenoisingImageFilter.h

Detailed Description

template<class TInputImage, class TOutputImage> class itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >

Classes

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Member Functions

Protected Attributes

Private Member Functions

Static Private Member Functions

Additional Inherited Members

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

template<class TInputImage, class TOutputImage>
class itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >