itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage > Class Template Reference

#include <itkPatchBasedDenoisingBaseImageFilter.h>

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

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

Detailed Description

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

Base class for patch-based denoisng algorithms.

Implementation of 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. The weights are derived using a kernel function on distances between (i) the patch around pixel p and (ii) the patches around the chosen subset of pixels in the image. This class of methods is motivated by texture-based image models and relies on nonparametric statistical modeling in the high-dimensional space of image patches. The choice of an appropriate kernel bandwidth parameter underlying nonparametric modeling can be important and may be estimated using cross-validation schemes.

Engineering issues underlying this class of methods include the choice of the patch size, the definition of a weighting mask on patches (e.g. to make patches more isotropic and less rectangular), the number of iterations over the image, the scheme for sampling patches from the image, and the weights balancing the regularization and data fidelity when the noise model is known.

This class of methods stems from the following two independent and simultaneous publications:

Suyash P. Awate, Ross T. Whitaker. Higher-Order Image Statistics for Unsupervised, Information-Theoretic, Adaptive, Image Filtering. IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR) 2005; (2):44-51.

Antoni Buades, Bartomeu Coll, Jean-Michel Morel. A Non-Local Algorithm for Image Denoising. IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR) 2005; (2):60-65.

While the former work considers the denoising algorithm as performing entropy reduction using nonparametric density estimation, the latter work treats it as nonparametric regression. Details underlying this class of methods appear in:

Suyash P. Awate, Ross T. Whitaker. Unsupervised, Information-Theoretic, Adaptive Image Filtering for Image Restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2006; 28(3):364-376.

Antoni Buades, Bartomeu Coll, Jean-Michel Morel. Nonlocal Image and Movie Denoising. International Journal of Computer Vision (IJCV) 2008; 76(2):123-139.

This class provides the base software framework for implementing patch-based denoising methods for multi-dimensional and multi-channel (i.e. vector-valued pixels) images. This framework is multithreaded on shared-memory architectures. Multithreading is incorporated in, both, intensity-updates and bandwidth-estimation stages by subdividing the image domain and associating each sub-domain to a single thread for processing.

To prevent oversmoothing, this class provides the framework for including a data-fidelity term based on the knowledge of the noise model. The intensity updates are then treated as the sum of (1) the weighted smoothing updates and (2) the weighted fidelity updates that prevent large deviations of the denoised image from the noisy data.

See Also

PatchBasedDenoisingImageFilter

Definition at line 93 of file itkPatchBasedDenoisingBaseImageFilter.h.

Public Types
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 {   GAUSSIAN = 0,   RICIAN = 1,   POISSON = 2 }
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 const unsigned int &	GetElapsedIterations ()
virtual const char *	GetNameOfClass () const
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	SetFidelityWeight (double _arg)
virtual double	GetFidelityWeight () const
virtual void	SetDoKernelBandwidthEstimation (bool _arg)
virtual void	DoKernelBandwidthEstimationOn ()
virtual void	DoKernelBandwidthEstimationOff ()
virtual bool	GetDoKernelBandwidthEstimation () 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 >
virtual double	GetCoordinateTolerance ()
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	SetCoordinateTolerance (double _arg)
virtual void	SetInput (const InputImageType *image)
virtual void	SetInput (unsigned int, const TInputImage *image)
virtual void	SetDirectionTolerance (double _arg)
virtual double	GetDirectionTolerance ()
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 LightObject::Pointer	CreateAnother () 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 Attributes
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
virtual void	AllocateUpdateBuffer ()=0
virtual void	ApplyUpdate ()=0
virtual void	ComputeImageUpdate ()=0
virtual void	ComputeKernelBandwidthUpdate ()=0
virtual void	CopyInputToOutput ()=0
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 void	GenerateInputRequestedRegion ()
virtual bool	Halt ()
virtual void	Initialize ()
virtual void	InitializeIteration ()
virtual void	InitializePatchWeights ()
	PatchBasedDenoisingBaseImageFilter ()
virtual void	PostProcessOutput ()
virtual void	PreProcessInput ()
virtual void	PrintSelf (std::ostream &os, Indent indent) const
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)
virtual void	VerifyInputInformation ()
void	PushBackInput (const DataObject *input)
void	PushFrontInput (const DataObject *input)
	ImageToImageFilter ()
	~ImageToImageFilter ()
Protected Member Functions inherited from itk::ImageSource< TOutputImage >
virtual void	AfterThreadedGenerateData ()
virtual void	AllocateOutputs ()
virtual void	BeforeThreadedGenerateData ()
	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)
bool	AddRequiredInputName (const DataObjectIdentifierType &)
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
bool	IsRequiredInputName (const DataObjectIdentifierType &) const
	itkLegacyMacro (virtual void RemoveInput(DataObject *input))
	itkLegacyMacro (virtual void RemoveOutput(DataObject *output))
	itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))
	itkLegacyMacro (void SetNumberOfOutputs(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)
bool	RemoveRequiredInputName (const DataObjectIdentifierType &)
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)
void	SetRequiredInputNames (const NameArray &)
virtual void	VerifyPreconditions ()
	~ProcessObject ()
DataObject *	GetInput (const DataObjectIdentifierType &key)
const DataObject *	GetInput (const DataObjectIdentifierType &key) const
DataObject *	GetInput (DataObjectPointerArraySizeType)
const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryInput ()
const DataObject *	GetPrimaryInput () const
virtual void	SetPrimaryInputName (const DataObjectIdentifierType &key)
virtual const char *	GetPrimaryInputName () const
DataObject *	GetOutput (const DataObjectIdentifierType &key)
const DataObject *	GetOutput (const DataObjectIdentifierType &key) const
virtual void	SetPrimaryOutputName (const DataObjectIdentifierType &key)
virtual const char *	GetPrimaryOutputName () const
DataObject *	GetOutput (DataObjectPointerArraySizeType idx)
const DataObject *	GetOutput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryOutput ()
const DataObject *	GetPrimaryOutput () const
virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs ()
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_AlwaysTreatComponentsAsEuclidean
ComponentSpaceType	m_ComponentSpace
bool	m_DoKernelBandwidthEstimation
unsigned int	m_ElapsedIterations
double	m_FidelityWeight
const InputImageType *	m_InputImage
unsigned int	m_KernelBandwidthUpdateFrequency
bool	m_ManualReinitialization
NoiseModelType	m_NoiseModel
unsigned int	m_NumberOfIterations
OutputImageType *	m_OutputImage
unsigned int	m_PatchRadius
PatchWeightsType	m_PatchWeights
double	m_SmoothingWeight

Private Member Functions
void	operator= (const Self &)
	PatchBasedDenoisingBaseImageFilter (const Self &)

Private Attributes
FilterStateType	m_State

Additional Inherited Members
Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOff ()
static void	GlobalWarningDisplayOn ()
static Pointer	New ()
static void	SetGlobalWarningDisplay (bool flag)
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 ITK_THREAD_RETURN_TYPE	ThreaderCallback (void *arg)

Member Typedef Documentation

template<class TInputImage , class TOutputImage >

typedef ZeroFluxNeumannBoundaryCondition<OutputImageType> itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::BoundaryConditionType

This data structure type is used for efficiently accessing patch values from the image data structure.

Definition at line 141 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

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

Definition at line 101 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef ConstNeighborhoodIterator< InputImageType, BoundaryConditionType > itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::InputImagePatchIterator

Definition at line 146 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef TInputImage itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::InputImageType

Input and output image types.

Definition at line 104 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef InputImageType::PixelType itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::InputPixelType

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

Definition at line 117 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

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

Definition at line 143 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef TOutputImage itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::OutputImageType

Definition at line 108 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef OutputImageType::PixelType itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::OutputPixelType

Definition at line 118 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef ListAdaptorType::NeighborhoodRadiusType itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::PatchRadiusType

Definition at line 144 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Array<float> itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::PatchWeightsType

This data structure type is used to store the weights (mask) for pixels in a patch in order to make the patch more isotropic and less rectangular.

Definition at line 136 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef OutputPixelType itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::PixelType

Definition at line 119 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef NumericTraits<PixelType>::ValueType itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::PixelValueType

Definition at line 120 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

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

Definition at line 100 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

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

Standard class typedefs.

Definition at line 98 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

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

Definition at line 99 of file itkPatchBasedDenoisingBaseImageFilter.h.

Member Enumeration Documentation

template<class TInputImage , class TOutputImage >

enum itk::PatchBasedDenoisingBaseImageFilter::ComponentSpaceType

Type definition to determine which space to do calculations in. TODO add comment about why no noise model can be used for RIEMANNIAN space

Enumerator:

EUCLIDEAN
RIEMANNIAN

Definition at line 129 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

enum itk::PatchBasedDenoisingBaseImageFilter::FilterStateType

Enumerator:

UNINITIALIZED
INITIALIZED

Definition at line 131 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

enum itk::PatchBasedDenoisingBaseImageFilter::NoiseModelType

Type definition for selecting the noise model.

Enumerator:

GAUSSIAN
RICIAN
POISSON

Definition at line 123 of file itkPatchBasedDenoisingBaseImageFilter.h.

Constructor & Destructor Documentation

template<class TInputImage , class TOutputImage >

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

protected

template<class TInputImage , class TOutputImage >

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

protected

template<class TInputImage , class TOutputImage >

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

private

Member Function Documentation

template<class TInputImage , class TOutputImage >

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

protectedpure virtual

Allocate memory for a temporary update container in the subclass.

Implemented in itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::AlwaysTreatComponentsAsEuclideanOff ( )

virtual

Set/Get flag indicating whether all components should always be treated as if they are in euclidean space regardless of pixel type. Defaults to false.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::AlwaysTreatComponentsAsEuclideanOn ( )

virtual

Set/Get flag indicating whether all components should always be treated as if they are in euclidean space regardless of pixel type. Defaults to false.

template<class TInputImage , class TOutputImage >

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

protectedpure virtual

Implemented in itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

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

protectedpure virtual

Perform one iteration of image denoising.

Implemented in itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

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

protectedpure virtual

Automatically estimate kernel bandwidth from the image data.

Implemented in itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

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

protectedpure virtual

Implemented in itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

ComponentSpaceType itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::DetermineComponentSpace ( const RGBPixel< PixelValueType > &  )

inlineprotected

Determine the component space based on pixel type

Definition at line 299 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

ComponentSpaceType itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::DetermineComponentSpace ( const RGBAPixel< PixelValueType > &  )

inlineprotected

Definition at line 304 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

ComponentSpaceType itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::DetermineComponentSpace ( const DiffusionTensor3D< PixelValueType > &  )

inlineprotected

Definition at line 309 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

template<class PixelT >

ComponentSpaceType itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::DetermineComponentSpace ( const PixelT &  )

inlineprotected

Definition at line 315 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::DoKernelBandwidthEstimationOff ( )

virtual

Set/Get flag indicating whether kernel-bandwidth should be estimated automatically from the image data. Defaults to true.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::DoKernelBandwidthEstimationOn ( )

virtual

Set/Get flag indicating whether kernel-bandwidth should be estimated automatically from the image data. Defaults to true.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::GenerateData ( )

protectedvirtual

A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling ThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter an be threaded, it should NOT provide a GenerateData() method but should provide a ThreadedGenerateData() instead.

See Also

ThreadedGenerateData()

Reimplemented from itk::ImageSource< TOutputImage >.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< 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::ImageToImageFilter< TInputImage, TOutputImage >.

Reimplemented in itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

virtual bool itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::GetAlwaysTreatComponentsAsEuclidean ( ) const

virtual

Set/Get flag indicating whether all components should always be treated as if they are in euclidean space regardless of pixel type. Defaults to false.

template<class TInputImage , class TOutputImage >

virtual bool itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::GetDoKernelBandwidthEstimation ( ) const

virtual

Set/Get flag indicating whether kernel-bandwidth should be estimated automatically from the image data. Defaults to true.

template<class TInputImage , class TOutputImage >

virtual const unsigned int& itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::GetElapsedIterations ( )

virtual

Get the number of elapsed iterations of the filter.

template<class TInputImage , class TOutputImage >

virtual double itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::GetFidelityWeight ( ) const

virtual

Set/Get the weight on the fidelity term (penalizes deviations from the noisy data). This option is used when a noise model is specified. This weight controls the balance between the smoothing and the closeness to the noisy data.

template<class TInputImage , class TOutputImage >

virtual unsigned int itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::GetKernelBandwidthUpdateFrequency ( ) const

virtual

Set/Get the update frequency for the kernel bandwidth estimation. An optimal bandwidth will be re-estimated based on the denoised image after every 'n' iterations. Must be a positive integer. Defaults to 3, i.e. bandwidth updated after every 3 denoising iteration.

template<class TInputImage , class TOutputImage >

virtual const bool& itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::GetManualReinitialization ( )

virtual

Require the filter to be manually reinitialized (by calling SetStateToUninitialized()

template<class TInputImage , class TOutputImage >

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

virtual

Run-time type information (and related methods).

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

Reimplemented in itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

virtual NoiseModelType itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::GetNoiseModel ( ) const

virtual

Set/Get the noise model type. Defaults to GAUSSIAN. To use the noise model during denoising, FidelityWeight must be positive.

template<class TInputImage , class TOutputImage >

virtual const unsigned int& itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::GetNumberOfIterations ( )

virtual

Set/Get the number of denoising iterations to perform. Must be a positive integer. Defaults to 5.

template<class TInputImage , class TOutputImage >

PatchRadiusType itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::GetPatchDiameterInVoxels

(

)

const

template<class TInputImage , class TOutputImage >

PatchRadiusType::SizeValueType itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::GetPatchLengthInVoxels

(

)

const

template<class TInputImage , class TOutputImage >

virtual unsigned int itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::GetPatchRadius ( ) const

virtual

Set/Get the patch radius specified in physical coordinates. Patch radius is preferably set to an even number. Currently, only isotropic patches in physical space are allowed; patches can be anisotropic in voxel space.

template<class TInputImage , class TOutputImage >

PatchRadiusType itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::GetPatchRadiusInVoxels

(

)

const

template<class TInputImage , class TOutputImage >

PatchWeightsType itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::GetPatchWeights

(

)

const

template<class TInputImage , class TOutputImage >

virtual double itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::GetSmoothingWeight ( ) const

virtual

Set/Get the weight on the smoothing term. This option is used when a noise model is specified. This weight controls the balance between the smoothing and the closeness to the noisy data.

template<class TInputImage , class TOutputImage >

virtual const FilterStateType& itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::GetState ( )

virtual

Set/Get the state of the filter.

template<class TInputImage , class TOutputImage >

virtual bool itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::Halt ( )

protectedvirtual

Check and indicate whether to continue iterations or stop.

template<class TInputImage , class TOutputImage >

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

inlineprotectedvirtual

Reimplemented in itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >.

Definition at line 269 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

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

inlineprotectedvirtual

Reimplemented in itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >.

Definition at line 276 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

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

protectedvirtual

Allocate memory and initialize patch weights.

Reimplemented in itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::ManualReinitializationOff ( )

virtual

Require the filter to be manually reinitialized (by calling SetStateToUninitialized()

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::ManualReinitializationOn ( )

virtual

Require the filter to be manually reinitialized (by calling SetStateToUninitialized()

template<class TInputImage , class TOutputImage >

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

private

template<class TInputImage , class TOutputImage >

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

inlineprotectedvirtual

Reimplemented in itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >.

Definition at line 286 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::PreProcessInput ( )

inlineprotectedvirtual

Definition at line 274 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< 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::ImageToImageFilter< TInputImage, TOutputImage >.

Reimplemented in itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::SetAlwaysTreatComponentsAsEuclidean ( bool  _arg )

virtual

Set/Get flag indicating whether all components should always be treated as if they are in euclidean space regardless of pixel type. Defaults to false.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::SetDoKernelBandwidthEstimation ( bool  _arg )

virtual

Set/Get flag indicating whether kernel-bandwidth should be estimated automatically from the image data. Defaults to true.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::SetElapsedIterations ( unsigned int  _arg )

protectedvirtual

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::SetFidelityWeight ( double  _arg )

virtual

Set/Get the weight on the fidelity term (penalizes deviations from the noisy data). This option is used when a noise model is specified. This weight controls the balance between the smoothing and the closeness to the noisy data.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::SetKernelBandwidthUpdateFrequency ( unsigned int  _arg )

virtual

Set/Get the update frequency for the kernel bandwidth estimation. An optimal bandwidth will be re-estimated based on the denoised image after every 'n' iterations. Must be a positive integer. Defaults to 3, i.e. bandwidth updated after every 3 denoising iteration.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::SetManualReinitialization ( bool  _arg )

virtual

Require the filter to be manually reinitialized (by calling SetStateToUninitialized()

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::SetNoiseModel ( NoiseModelType  _arg )

virtual

Set/Get the noise model type. Defaults to GAUSSIAN. To use the noise model during denoising, FidelityWeight must be positive.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::SetNumberOfIterations ( unsigned int  _arg )

virtual

Set/Get the number of denoising iterations to perform. Must be a positive integer. Defaults to 5.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::SetPatchRadius ( unsigned int  _arg )

virtual

Set/Get the patch radius specified in physical coordinates. Patch radius is preferably set to an even number. Currently, only isotropic patches in physical space are allowed; patches can be anisotropic in voxel space.

template<class TInputImage , class TOutputImage >

void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::SetPatchWeights

(

const PatchWeightsType &

weights

)

Set/Get the patch weights, or mask, that make the patch more isotropic (less rectangular). This function allows the user to set arbitrary patch weights by providing a 1-D array of weights.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::SetSmoothingWeight ( double  _arg )

virtual

Set/Get the weight on the smoothing term. This option is used when a noise model is specified. This weight controls the balance between the smoothing and the closeness to the noisy data.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::SetState ( FilterStateType  _arg )

virtual

Set/Get the state of the filter.

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::SetStateToInitialized ( )

virtual

Set the state of the filter to INITIALIZED

template<class TInputImage , class TOutputImage >

virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::SetStateToUninitialized ( )

virtual

Set the state of the filter to UNINITIALIZED

template<class TInputImage , class TOutputImage >

virtual bool itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::ThreadedHalt ( void *  )

inlineprotectedvirtual

Definition at line 291 of file itkPatchBasedDenoisingBaseImageFilter.h.

Member Data Documentation

template<class TInputImage , class TOutputImage >

const unsigned int itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::ImageDimension = InputImageType::ImageDimension

static

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

Definition at line 112 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

bool itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::m_AlwaysTreatComponentsAsEuclidean

protected

Parameter indicating whether components should be treated as if they are in Euclidean space regardless of pixel type.

Definition at line 340 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

ComponentSpaceType itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::m_ComponentSpace

protected

Definition at line 341 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

bool itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::m_DoKernelBandwidthEstimation

protected

Parameters that define the strategy for kernel-bandwidth estimation.

Definition at line 325 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

unsigned int itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::m_ElapsedIterations

protected

Definition at line 331 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

double itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::m_FidelityWeight

protected

Definition at line 336 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

const InputImageType* itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::m_InputImage

protected

cache input and output pointer to get rid of thousands of calls to GetInput and GetOutput.

Definition at line 350 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

unsigned int itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::m_KernelBandwidthUpdateFrequency

protected

Definition at line 326 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

bool itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::m_ManualReinitialization

protected

Indicates whether the filter automatically resets to UNINITIALIZED state after completing, or whether filter must be manually reset

Definition at line 345 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

NoiseModelType itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::m_NoiseModel

protected

Parameters defining the usage of a specific noise model, if desired.

Definition at line 334 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

unsigned int itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::m_NumberOfIterations

protected

Parameters that define the total number of denoising iterations to perform and those completed so far.

Definition at line 330 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

OutputImageType* itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::m_OutputImage

protected

Definition at line 351 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

unsigned int itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::m_PatchRadius

protected

Parameters that define patch size and patch weights (mask).

Definition at line 321 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

PatchWeightsType itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::m_PatchWeights

protected

Definition at line 322 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

double itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::m_SmoothingWeight

protected

Definition at line 335 of file itkPatchBasedDenoisingBaseImageFilter.h.

template<class TInputImage , class TOutputImage >

FilterStateType itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::m_State

private

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

Definition at line 358 of file itkPatchBasedDenoisingBaseImageFilter.h.

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

• itkPatchBasedDenoisingBaseImageFilter.h