Class TikhonovDeconvolutionImageFilter
java.lang.Object
org.itk.simple.ProcessObject
org.itk.simple.ImageFilter
org.itk.simple.TikhonovDeconvolutionImageFilter
An inverse deconvolution filter regularized in the Tikhonov sense.
The Tikhonov deconvolution filter is the inverse deconvolution filter
with a regularization term added to the denominator. The filter
minimizes the equation \\[ ||\\hat{f} \\otimes h - g||_{L_2}^2 + \\mu||\\hat{f}||^2
\\] where $\\hat{f}$ is the estimate of the unblurred image, $h$ is the blurring kernel, $g$ is the blurred image, and $\\mu$ is a non-negative real regularization function.
The filter applies a kernel described in the Fourier domain as $H^*(\\omega) / (|H(\\omega)|^2 + \\mu)$ where $H(\\omega)$ is the Fourier transform of $h$ . The term $\\mu$ is called RegularizationConstant in this filter. If $\\mu$ is set to zero, this filter is equivalent to the InverseDeconvolutionImageFilter .
Gaetan Lehmann, Biologie du Developpement et de la Reproduction, INRA
de Jouy-en-Josas, France
Cory Quammen, The University of North Carolina at Chapel Hill
See:
 itk::simple::TikhonovDeconvolution for the procedural interface
 itk::TikhonovDeconvolutionImageFilter for the Doxygen on the original ITK class.
C++ includes: sitkTikhonovDeconvolutionImageFilter.h
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Nested Class SummaryNested ClassesModifier and TypeClassDescriptionstatic final classstatic final class
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Field SummaryFields inherited from class org.itk.simple.ProcessObjectswigCMemOwn
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Constructor SummaryConstructorsModifierConstructorDescriptionitk::simple::TikhonovDeconvolutionImageFilter::TikhonovDeconvolutionImageFilter() Default Constructor that takes no arguments and initializes default parametersprotectedTikhonovDeconvolutionImageFilter(long cPtr, boolean cMemoryOwn) 
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Method SummaryModifier and TypeMethodDescriptionvoiddelete()virtual itk::simple::TikhonovDeconvolutionImageFilter::~TikhonovDeconvolutionImageFilter() DestructorImage itk::simple::TikhonovDeconvolutionImageFilter::Execute(const Image &image1, const Image &image2) Execute the filter on the input imagesprotected voidfinalize()BoundaryConditionType itk::simple::TikhonovDeconvolutionImageFilter::GetBoundaryCondition() constprotected static longgetName()std::string itk::simple::TikhonovDeconvolutionImageFilter::GetName() const Name of this classbooleanbool itk::simple::TikhonovDeconvolutionImageFilter::GetNormalize() constOutputRegionModeType itk::simple::TikhonovDeconvolutionImageFilter::GetOutputRegionMode() constdoubledouble itk::simple::TikhonovDeconvolutionImageFilter::GetRegularizationConstant() const The regularization factor.voidSelf& itk::simple::TikhonovDeconvolutionImageFilter::NormalizeOff()voidSelf& itk::simple::TikhonovDeconvolutionImageFilter::NormalizeOn() Set the value of Normalize to true or false respectfully.voidsetBoundaryCondition(TikhonovDeconvolutionImageFilter.BoundaryConditionType BoundaryCondition) Self& itk::simple::TikhonovDeconvolutionImageFilter::SetBoundaryCondition(BoundaryConditionType BoundaryCondition)voidsetNormalize(boolean Normalize) Self& itk::simple::TikhonovDeconvolutionImageFilter::SetNormalize(bool Normalize) Normalize the output image by the sum of the kernel componentsvoidsetOutputRegionMode(TikhonovDeconvolutionImageFilter.OutputRegionModeType OutputRegionMode) Self& itk::simple::TikhonovDeconvolutionImageFilter::SetOutputRegionMode(OutputRegionModeType OutputRegionMode)voidsetRegularizationConstant(double RegularizationConstant) Self& itk::simple::TikhonovDeconvolutionImageFilter::SetRegularizationConstant(double RegularizationConstant) The regularization factor.protected static longtoString()std::string itk::simple::TikhonovDeconvolutionImageFilter::ToString() const Print ourselves outMethods inherited from class org.itk.simple.ImageFiltergetCPtr, swigReleaseMethods inherited from class org.itk.simple.ProcessObjectabort, addCommand, debugOff, debugOn, getCPtr, getDebug, getGlobalDefaultCoordinateTolerance, getGlobalDefaultDebug, getGlobalDefaultDirectionTolerance, getGlobalDefaultNumberOfThreads, getGlobalDefaultThreader, getGlobalWarningDisplay, getNumberOfThreads, getNumberOfWorkUnits, getProgress, globalDefaultDebugOff, globalDefaultDebugOn, globalWarningDisplayOff, globalWarningDisplayOn, hasCommand, removeAllCommands, setDebug, setGlobalDefaultCoordinateTolerance, setGlobalDefaultDebug, setGlobalDefaultDirectionTolerance, setGlobalDefaultNumberOfThreads, setGlobalDefaultThreader, setGlobalWarningDisplay, setNumberOfThreads, setNumberOfWorkUnits, swigRelease
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Constructor Details- 
TikhonovDeconvolutionImageFilterprotected TikhonovDeconvolutionImageFilter(long cPtr, boolean cMemoryOwn) 
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TikhonovDeconvolutionImageFilterpublic TikhonovDeconvolutionImageFilter()itk::simple::TikhonovDeconvolutionImageFilter::TikhonovDeconvolutionImageFilter() Default Constructor that takes no arguments and initializes default parameters
 
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Method Details- 
getCPtr
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swigRelease
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finalizeprotected void finalize()- Overrides:
- finalizein class- ImageFilter
 
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deletepublic void delete()virtual itk::simple::TikhonovDeconvolutionImageFilter::~TikhonovDeconvolutionImageFilter() Destructor- Overrides:
- deletein class- ImageFilter
 
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setRegularizationConstantpublic void setRegularizationConstant(double RegularizationConstant) Self& itk::simple::TikhonovDeconvolutionImageFilter::SetRegularizationConstant(double RegularizationConstant) The regularization factor. Larger values reduce the dominance of noise in the solution, but results in higher approximation error in the deblurred image. Default value is 0.0, yielding the same results as the InverseDeconvolutionImageFilter .
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getRegularizationConstantpublic double getRegularizationConstant()double itk::simple::TikhonovDeconvolutionImageFilter::GetRegularizationConstant() const The regularization factor. Larger values reduce the dominance of noise in the solution, but results in higher approximation error in the deblurred image. Default value is 0.0, yielding the same results as the InverseDeconvolutionImageFilter .
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setNormalizepublic void setNormalize(boolean Normalize) Self& itk::simple::TikhonovDeconvolutionImageFilter::SetNormalize(bool Normalize) Normalize the output image by the sum of the kernel components
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normalizeOnpublic void normalizeOn()Self& itk::simple::TikhonovDeconvolutionImageFilter::NormalizeOn() Set the value of Normalize to true or false respectfully.
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normalizeOffpublic void normalizeOff()Self& itk::simple::TikhonovDeconvolutionImageFilter::NormalizeOff()
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getNormalizepublic boolean getNormalize()bool itk::simple::TikhonovDeconvolutionImageFilter::GetNormalize() const
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setBoundaryConditionpublic void setBoundaryCondition(TikhonovDeconvolutionImageFilter.BoundaryConditionType BoundaryCondition) Self& itk::simple::TikhonovDeconvolutionImageFilter::SetBoundaryCondition(BoundaryConditionType BoundaryCondition)
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getBoundaryConditionBoundaryConditionType itk::simple::TikhonovDeconvolutionImageFilter::GetBoundaryCondition() const
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setOutputRegionModepublic void setOutputRegionMode(TikhonovDeconvolutionImageFilter.OutputRegionModeType OutputRegionMode) Self& itk::simple::TikhonovDeconvolutionImageFilter::SetOutputRegionMode(OutputRegionModeType OutputRegionMode)
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getOutputRegionModeOutputRegionModeType itk::simple::TikhonovDeconvolutionImageFilter::GetOutputRegionMode() const
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getNamestd::string itk::simple::TikhonovDeconvolutionImageFilter::GetName() const Name of this class- Overrides:
- getNamein class- ProcessObject
 
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toStringstd::string itk::simple::TikhonovDeconvolutionImageFilter::ToString() const Print ourselves out- Overrides:
- toStringin class- ProcessObject
 
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execute
 
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