ITK  4.2.0
Insight Segmentation and Registration Toolkit
Classes | Public Types | Public Member Functions | Static Public Member Functions | Protected Member Functions | Private Types | Private Member Functions | Private Attributes
itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage > Class Template Reference

#include <itkParametricBlindLeastSquaresDeconvolutionImageFilter.h>

+ Inheritance diagram for itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >:
+ Collaboration diagram for itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >:

List of all members.

Classes

class  ParametricBlindLeastSquaresDeconvolutionDifference
class  ParametricBlindLeastSquaresDeconvolutionImageUpdate

Public Types

typedef SmartPointer< const SelfConstPointer
typedef TInputImage InputImageType
typedef
Superclass::InternalComplexImagePointerType 
InternalComplexImagePointerType
typedef
Superclass::InternalComplexImageType 
InternalComplexImageType
typedef
Superclass::InternalComplexType 
InternalComplexType
typedef
Superclass::InternalImagePointerType 
InternalImagePointerType
typedef
Superclass::InternalImageType 
InternalImageType
typedef KernelSourceType::Pointer KernelSourcePointer
typedef TKernelSource KernelSourceType
typedef TOutputImage OutputImageType
typedef SmartPointer< SelfPointer
typedef
ParametricBlindLeastSquaresDeconvolutionImageFilter 
Self
typedef
IterativeDeconvolutionImageFilter
< TInputImage, typename
TKernelSource::OutputImageType,
TOutputImage > 
Superclass
- Public Types inherited from itk::IterativeDeconvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage >
typedef
TKernelSource::OutputImageType 
KernelImageType
- Public Types inherited from itk::FFTConvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage, double >
typedef
Superclass::BoundaryConditionPointerType 
BoundaryConditionPointerType
typedef
Superclass::BoundaryConditionType 
BoundaryConditionType
typedef InputImageType::IndexType InputIndexType
typedef InputImageType::PixelType InputPixelType
typedef InputImageType::RegionType InputRegionType
typedef InputImageType::SizeType InputSizeType
typedef KernelImageType::IndexType KernelIndexType
typedef KernelImageType::PixelType KernelPixelType
typedef KernelImageType::RegionType KernelRegionType
typedef KernelImageType::SizeType KernelSizeType
typedef OutputImageType::IndexType OutputIndexType
typedef OutputImageType::PixelType OutputPixelType
typedef OutputImageType::RegionType OutputRegionType
typedef OutputImageType::SizeType OutputSizeType
typedef
InputSizeType::SizeValueType 
SizeValueType
- Public Types inherited from itk::ConvolutionImageFilterBase< TInputImage, TKernelSource::OutputImageType, TOutputImage >
typedef
ZeroFluxNeumannBoundaryCondition
< TInputImage > 
DefaultBoundaryConditionType
enum  OutputRegionModeType
- Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
typedef
InputImageType::ConstPointer 
InputImageConstPointer
typedef InputImageType::PixelType InputImagePixelType
typedef InputImageType::Pointer InputImagePointer
typedef InputImageType::RegionType InputImageRegionType
typedef
Superclass::OutputImagePixelType 
OutputImagePixelType
typedef
Superclass::OutputImageRegionType 
OutputImageRegionType
- Public Types inherited from itk::ImageSource< TOutputImage >
typedef
Superclass::DataObjectIdentifierType 
DataObjectIdentifierType
typedef DataObject::Pointer DataObjectPointer
typedef
Superclass::DataObjectPointerArraySizeType 
DataObjectPointerArraySizeType
typedef OutputImageType::Pointer OutputImagePointer
- Public Types inherited from itk::ProcessObject
typedef std::vector
< DataObjectPointer
DataObjectPointerArray
typedef std::vector
< DataObjectIdentifierType
NameArray
- Public Types inherited from itk::Object
- Public Types inherited from itk::LightObject

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
virtual const char * GetNameOfClass () const
void SetKernelSource (KernelSourceType *kernelSource)
virtual const KernelSourceTypeGetKernelSource ()
virtual void SetAlpha (double _arg)
virtual double GetAlpha ()
virtual void SetBeta (double _arg)
virtual double GetBeta ()
- Public Member Functions inherited from itk::IterativeDeconvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage >
virtual const InternalImageTypeGetCurrentEstimate ()
virtual unsigned int GetIteration () const
virtual void SetNumberOfIterations (unsigned int _arg)
virtual unsigned int GetNumberOfIterations ()
void SetStopIteration (bool stop)
virtual bool GetStopIteration () const

Static Public Member Functions

static Pointer New ()

Protected Member Functions

virtual void Finish (ProgressAccumulator *progress, float progressWeight)
virtual void Initialize (ProgressAccumulator *progress, float progressWeight, float iterationProgressWeight)
virtual void Iteration (ProgressAccumulator *progress, float iterationProgressWeight)
 ParametricBlindLeastSquaresDeconvolutionImageFilter ()
virtual void PrintSelf (std::ostream &os, Indent indent) const
virtual ~ParametricBlindLeastSquaresDeconvolutionImageFilter ()
- Protected Member Functions inherited from itk::IterativeDeconvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage >
virtual void GenerateData ()
virtual void GenerateInputRequestedRegion ()
 IterativeDeconvolutionImageFilter ()
virtual ~IterativeDeconvolutionImageFilter ()
- Protected Member Functions inherited from itk::FFTConvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage, double >
void CropOutput (InternalImageType *paddedOutput, ProgressAccumulator *progress, float progressWeight)
 FFTConvolutionImageFilter ()
InputSizeType GetPadLowerBound () const
InputSizeType GetPadSize () const
bool GetXDimensionIsOdd () const
void PadInput (const InputImageType *input, InternalImagePointerType &paddedInput, ProgressAccumulator *progress, float progressWeight)
void PrepareInput (const InputImageType *input, InternalComplexImagePointerType &preparedInput, ProgressAccumulator *progress, float progressWeight)
void PrepareInputs (const InputImageType *input, const KernelImageType *kernel, InternalComplexImagePointerType &preparedInput, InternalComplexImagePointerType &preparedKernel, ProgressAccumulator *progress, float progressWeight)
void PrepareKernel (const KernelImageType *kernel, InternalComplexImagePointerType &preparedKernel, ProgressAccumulator *progress, float progressWeight)
void ProduceOutput (InternalComplexImageType *paddedOutput, ProgressAccumulator *progress, float progressWeight)
void TransformPaddedInput (const InternalImageType *paddedInput, InternalComplexImagePointerType &transformedInput, ProgressAccumulator *progress, float progressWeight)
 ~FFTConvolutionImageFilter ()
- Protected Member Functions inherited from itk::ConvolutionImageFilterBase< TInputImage, TKernelSource::OutputImageType, TOutputImage >
 ConvolutionImageFilterBase ()
void GenerateOutputInformation ()
OutputRegionType GetValidRegion () const
virtual void VerifyInputInformation ()
 ~ConvolutionImageFilterBase ()
- Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
 ImageToImageFilter ()
 ~ImageToImageFilter ()
void PushBackInput (const DataObject *input)
void PushFrontInput (const DataObject *input)
- Protected Member Functions inherited from itk::ImageSource< TOutputImage >
virtual void AfterThreadedGenerateData ()
virtual void AllocateOutputs ()
virtual void BeforeThreadedGenerateData ()
 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 GenerateOutputRequestedRegion (DataObject *output)
virtual const
DataObjectPointerArraySizeType
GetNumberOfRequiredInputs ()
virtual const
DataObjectPointerArraySizeType
GetNumberOfRequiredOutputs ()
bool IsIndexedName (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 MakeIndexFromName (const DataObjectIdentifierType &) const
DataObjectIdentifierType MakeNameFromIndex (DataObjectPointerArraySizeType) 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 SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
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
DataObjectGetOutput (const DataObjectIdentifierType &key)
const DataObjectGetOutput (const DataObjectIdentifierType &key) const
DataObjectGetOutput (DataObjectPointerArraySizeType idx)
const DataObjectGetOutput (DataObjectPointerArraySizeType idx) const
DataObjectGetPrimaryOutput ()
const DataObjectGetPrimaryOutput () const
- Protected Member Functions inherited from itk::Object
 Object ()
bool PrintObservers (std::ostream &os, Indent indent) const
virtual void SetTimeStamp (const TimeStamp &time)
virtual ~Object ()
- Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer InternalClone () const
 LightObject ()
virtual void PrintHeader (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const
virtual ~LightObject ()

Private Types

typedef
TernaryFunctorImageFilter
< InternalComplexImageType,
InternalComplexImageType,
InternalComplexImageType,
InternalComplexImageType,
DifferenceFunctorType
DifferenceFilterType
typedef
ParametricBlindLeastSquaresDeconvolutionDifference
< InternalComplexType
DifferenceFunctorType
typedef
TernaryFunctorImageFilter
< InternalComplexImageType,
InternalComplexImageType,
InternalComplexImageType,
InternalComplexImageType,
ImageUpdateFunctorType
ImageUpdateFilterType
typedef
ParametricBlindLeastSquaresDeconvolutionImageUpdate
< InternalComplexType
ImageUpdateFunctorType

Private Member Functions

void operator= (const Self &)
 ParametricBlindLeastSquaresDeconvolutionImageFilter (const Self &)

Private Attributes

double m_Alpha
double m_Beta
DifferenceFilterType::Pointer m_DifferenceFilter
ImageUpdateFilterType::Pointer m_ImageUpdateFilter
KernelSourcePointer m_KernelSource
InternalComplexImagePointerType m_TransformedCurrentEstimate
InternalComplexImagePointerType m_TransformedInput

Additional Inherited Members

- Protected Types inherited from itk::IterativeDeconvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage >
typedef Superclass::FFTFilterType FFTFilterType
typedef Superclass::IFFTFilterType IFFTFilterType
- Protected Types inherited from itk::FFTConvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage, double >
- Protected Attributes inherited from itk::IterativeDeconvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage >
InternalImagePointerType m_CurrentEstimate
InternalComplexImagePointerType m_TransferFunction

Detailed Description

template<class TInputImage, class TKernelSource, class TOutputImage = TInputImage>
class itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >

Least-squares blind deconvolution filter that also estimates the parameters of a user-supplied parametric point-spread function.

This filter takes a parametric kernel image source instead of a static kernel image. During the deconvolution iterations, a new estimate of the restored image is produced, along with a new estimate of the kernel parameters. The parameters are available through the kernel image sources GetParameters() method after the filter has executed.

Both the image estimate and the kernel parameter estimate are produced through gradient descent on a sum-of-squared differences objective function, making this method suitable for zero-mean Gaussian white noise.

This filter produces output in two forms: a deconvolved image and the parameters of the input kernel image source.

Warning:
The method SetKernelImage(), inherited from the superclass of this filter, is publicly available. However, this algorithm does not use the static kernel image set through this method. Instead, it uses the output of the parametric kernel source you specify.
Author:
Cory Quammen, The University of North Carolina at Chapel Hill

Definition at line 59 of file itkParametricBlindLeastSquaresDeconvolutionImageFilter.h.


Member Typedef Documentation

template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
typedef SmartPointer< const Self > itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::ConstPointer
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
typedef TernaryFunctorImageFilter< InternalComplexImageType, InternalComplexImageType, InternalComplexImageType, InternalComplexImageType, DifferenceFunctorType > itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::DifferenceFilterType
private
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
typedef ParametricBlindLeastSquaresDeconvolutionDifference< InternalComplexType > itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::DifferenceFunctorType
private

These are the internal filters that perform the updating of the image estimate.

Definition at line 208 of file itkParametricBlindLeastSquaresDeconvolutionImageFilter.h.

template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
typedef TernaryFunctorImageFilter< InternalComplexImageType, InternalComplexImageType, InternalComplexImageType, InternalComplexImageType, ImageUpdateFunctorType > itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::ImageUpdateFilterType
private
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
typedef ParametricBlindLeastSquaresDeconvolutionImageUpdate< InternalComplexType > itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::ImageUpdateFunctorType
private
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
typedef TInputImage itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::InputImageType
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
typedef Superclass::InternalComplexImagePointerType itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::InternalComplexImagePointerType
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
typedef Superclass::InternalComplexImageType itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::InternalComplexImageType
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
typedef Superclass::InternalComplexType itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::InternalComplexType
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
typedef Superclass::InternalImagePointerType itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::InternalImagePointerType
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
typedef Superclass::InternalImageType itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::InternalImageType
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
typedef KernelSourceType::Pointer itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::KernelSourcePointer
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
typedef TKernelSource itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::KernelSourceType

Type for the parametric kernel source.

Definition at line 83 of file itkParametricBlindLeastSquaresDeconvolutionImageFilter.h.

template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
typedef TOutputImage itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::OutputImageType
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
typedef SmartPointer< Self > itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::Pointer
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
typedef ParametricBlindLeastSquaresDeconvolutionImageFilter itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::Self
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
typedef IterativeDeconvolutionImageFilter< TInputImage, typename TKernelSource::OutputImageType, TOutputImage > itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::Superclass

Constructor & Destructor Documentation

template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::ParametricBlindLeastSquaresDeconvolutionImageFilter ( )
protected
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
virtual itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::~ParametricBlindLeastSquaresDeconvolutionImageFilter ( )
protectedvirtual
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::ParametricBlindLeastSquaresDeconvolutionImageFilter ( const Self )
private

Member Function Documentation

template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
virtual::itk::LightObject::Pointer itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::CreateAnother ( void  ) const
virtual

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

Reimplemented from itk::FFTConvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage, double >.

template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
virtual void itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::Finish ( ProgressAccumulator progress,
float  progressWeight 
)
protectedvirtual
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
virtual double itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::GetAlpha ( )
virtual

Set/get the scale factor (also known as learning rate) for the image intensity gradient descent.

template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
virtual double itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::GetBeta ( )
virtual

Set/get the scale factor (also known as learning rate) for the parameter gradient descent.

template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
virtual const KernelSourceType* itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::GetKernelSource ( )
virtual

Set/get the parametric kernel source.

template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
virtual const char* itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::GetNameOfClass ( ) const
virtual
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
virtual void itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::Initialize ( ProgressAccumulator progress,
float  progressWeight,
float  iterationProgressWeight 
)
protectedvirtual
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
virtual void itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::Iteration ( ProgressAccumulator ,
float   
)
protectedvirtual
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
static Pointer itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::New ( )
static

Method for creation through the object factory.

Reimplemented from itk::FFTConvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage, double >.

template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
void itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::operator= ( const Self )
private

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

Reimplemented from itk::IterativeDeconvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage >.

template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
virtual void itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, 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::IterativeDeconvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage >.

template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
virtual void itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::SetAlpha ( double  _arg)
virtual

Set/get the scale factor (also known as learning rate) for the image intensity gradient descent.

template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
virtual void itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::SetBeta ( double  _arg)
virtual

Set/get the scale factor (also known as learning rate) for the parameter gradient descent.

template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
void itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::SetKernelSource ( KernelSourceType kernelSource)

Set/get the parametric kernel source.


Member Data Documentation

template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
double itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::m_Alpha
private

Step sizes for the gradient descent of the image and the kernel parameters. These are very different spaces, so they deserve different step size parameters.

Definition at line 198 of file itkParametricBlindLeastSquaresDeconvolutionImageFilter.h.

template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
double itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::m_Beta
private
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
DifferenceFilterType::Pointer itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::m_DifferenceFilter
private
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
ImageUpdateFilterType::Pointer itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::m_ImageUpdateFilter
private
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
KernelSourcePointer itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::m_KernelSource
private
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
InternalComplexImagePointerType itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::m_TransformedCurrentEstimate
private
template<class TInputImage , class TKernelSource , class TOutputImage = TInputImage>
InternalComplexImagePointerType itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >::m_TransformedInput
private

Temporary images.

Definition at line 202 of file itkParametricBlindLeastSquaresDeconvolutionImageFilter.h.


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