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 Summary
Nested ClassesModifier and TypeClassDescriptionstatic final classstatic final class -
Field Summary
Fields inherited from class org.itk.simple.ProcessObject
swigCMemOwn -
Constructor Summary
ConstructorsModifierConstructorDescriptionitk::simple::TikhonovDeconvolutionImageFilter::TikhonovDeconvolutionImageFilter() Default Constructor that takes no arguments and initializes default parametersprotectedTikhonovDeconvolutionImageFilter(long cPtr, boolean cMemoryOwn) -
Method Summary
Modifier 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.ImageFilter
getCPtr, swigReleaseMethods inherited from class org.itk.simple.ProcessObject
abort, 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
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TikhonovDeconvolutionImageFilter
protected TikhonovDeconvolutionImageFilter(long cPtr, boolean cMemoryOwn) -
TikhonovDeconvolutionImageFilter
public TikhonovDeconvolutionImageFilter()itk::simple::TikhonovDeconvolutionImageFilter::TikhonovDeconvolutionImageFilter() Default Constructor that takes no arguments and initializes default parameters
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Method Details
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getCPtr
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swigRelease
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finalize
protected void finalize()- Overrides:
finalizein classImageFilter
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delete
public void delete()virtual itk::simple::TikhonovDeconvolutionImageFilter::~TikhonovDeconvolutionImageFilter() Destructor- Overrides:
deletein classImageFilter
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setRegularizationConstant
public 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 . -
getRegularizationConstant
public 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 . -
setNormalize
public void setNormalize(boolean Normalize) Self& itk::simple::TikhonovDeconvolutionImageFilter::SetNormalize(bool Normalize) Normalize the output image by the sum of the kernel components -
normalizeOn
public void normalizeOn()Self& itk::simple::TikhonovDeconvolutionImageFilter::NormalizeOn() Set the value of Normalize to true or false respectfully. -
normalizeOff
public void normalizeOff()Self& itk::simple::TikhonovDeconvolutionImageFilter::NormalizeOff() -
getNormalize
public boolean getNormalize()bool itk::simple::TikhonovDeconvolutionImageFilter::GetNormalize() const -
setBoundaryCondition
public void setBoundaryCondition(TikhonovDeconvolutionImageFilter.BoundaryConditionType BoundaryCondition) Self& itk::simple::TikhonovDeconvolutionImageFilter::SetBoundaryCondition(BoundaryConditionType BoundaryCondition) -
getBoundaryCondition
BoundaryConditionType itk::simple::TikhonovDeconvolutionImageFilter::GetBoundaryCondition() const -
setOutputRegionMode
public void setOutputRegionMode(TikhonovDeconvolutionImageFilter.OutputRegionModeType OutputRegionMode) Self& itk::simple::TikhonovDeconvolutionImageFilter::SetOutputRegionMode(OutputRegionModeType OutputRegionMode) -
getOutputRegionMode
OutputRegionModeType itk::simple::TikhonovDeconvolutionImageFilter::GetOutputRegionMode() const -
getName
std::string itk::simple::TikhonovDeconvolutionImageFilter::GetName() const Name of this class- Overrides:
getNamein classProcessObject
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toString
std::string itk::simple::TikhonovDeconvolutionImageFilter::ToString() const Print ourselves out- Overrides:
toStringin classProcessObject
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execute
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