ITK  4.3.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Attributes | Protected Member Functions | Protected Attributes | Private Member Functions | Private Attributes | List of all members
itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage > Class Template Referenceabstract

#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 SelfConstPointer
 
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< SelfPointer
 
typedef
PatchBasedDenoisingBaseImageFilter 
Self
 
typedef ImageToImageFilter
< TInputImage, TOutputImage > 
Superclass
 
- Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
typedef SmartPointer< const SelfConstPointer
 
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< SelfPointer
 
typedef ImageToImageFilter Self
 
typedef ImageSource< TOutputImage > Superclass
 
- Public Types inherited from itk::ImageSource< TOutputImage >
typedef SmartPointer< const SelfConstPointer
 
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< SelfPointer
 
typedef ImageSource Self
 
typedef ProcessObject Superclass
 
- Public Types inherited from itk::ProcessObject
typedef SmartPointer< const SelfConstPointer
 
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< SelfPointer
 
typedef ProcessObject Self
 
typedef Object Superclass
 
- Public Types inherited from itk::Object
typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
typedef Object Self
 
typedef LightObject Superclass
 
- Public Types inherited from itk::LightObject
typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
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 FilterStateTypeGetState ()
 
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 InputImageTypeGetInput (void) const
 
const InputImageTypeGetInput (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 >
OutputImageTypeGetOutput (unsigned int idx)
 
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
 
virtual void GraftOutput (DataObject *output)
 
virtual void GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
 
OutputImageTypeGetOutput (void)
 
const OutputImageTypeGetOutput (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 ThreadIdTypeGetNumberOfThreads ()
 
- 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
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary (void)
 
const MetaDataDictionaryGetMetaDataDictionary (void) const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStampGetTimeStamp () 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 ()
 
DataObjectGetInput (const DataObjectIdentifierType &key)
 
const DataObjectGetInput (const DataObjectIdentifierType &key) const
 
DataObjectGetInput (DataObjectPointerArraySizeType)
 
const DataObjectGetInput (DataObjectPointerArraySizeType idx) const
 
DataObjectGetPrimaryInput ()
 
const DataObjectGetPrimaryInput () const
 
virtual void SetPrimaryInputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryInputName () const
 
DataObjectGetOutput (const DataObjectIdentifierType &key)
 
const DataObjectGetOutput (const DataObjectIdentifierType &key) const
 
virtual void SetPrimaryOutputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryOutputName () const
 
DataObjectGetOutput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetOutput (DataObjectPointerArraySizeType idx) const
 
DataObjectGetPrimaryOutput ()
 
const DataObjectGetPrimaryOutput () 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 InputImageTypem_InputImage
 
unsigned int m_KernelBandwidthUpdateFrequency
 
bool m_ManualReinitialization
 
NoiseModelType m_NoiseModel
 
unsigned int m_NumberOfIterations
 
OutputImageTypem_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
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
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
template<class TInputImage , class TOutputImage >
virtual void itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >::InitializeIteration ( )
inlineprotectedvirtual
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
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.


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