Class InverseDeconvolutionImageFilter

java.lang.Object
org.itk.simple.ProcessObject
org.itk.simple.ImageFilter
org.itk.simple.InverseDeconvolutionImageFilter

public class InverseDeconvolutionImageFilter extends ImageFilter
The direct linear inverse deconvolution filter. The inverse filter is the most straightforward deconvolution method. Considering that convolution of two images in the spatial domain is equivalent to multiplying the Fourier transform of the two images, the inverse filter consists of inverting the multiplication. In other words, this filter computes the following: \\[ hat{F}(\\omega) = \\begin{cases} G(\\omega) / H(\\omega) & \\text{if \\f$|H(\\omega)| \\geq \\epsilon\\f$} \\\\ 0 & \\text{otherwise} \\end{cases} \\] where $\\hat{F}(\\omega)$ is the Fourier transform of the estimate produced by this filter, $G(\\omega)$ is the Fourier transform of the input blurred image, $H(\\omega)$ is the Fourier transform of the blurring kernel, and $\\epsilon$ is a constant real non-negative threshold (called KernelZeroMagnitudeThreshold in this filter) that determines when the magnitude of a complex number is considered zero. 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::InverseDeconvolution for the procedural interface itk::InverseDeconvolutionImageFilter for the Doxygen on the original ITK class. C++ includes: sitkInverseDeconvolutionImageFilter.h
  • Constructor Details

    • InverseDeconvolutionImageFilter

      protected InverseDeconvolutionImageFilter(long cPtr, boolean cMemoryOwn)
    • InverseDeconvolutionImageFilter

      public InverseDeconvolutionImageFilter()
      itk::simple::InverseDeconvolutionImageFilter::InverseDeconvolutionImageFilter() Default Constructor that takes no arguments and initializes default parameters
  • Method Details

    • getCPtr

      protected static long getCPtr(InverseDeconvolutionImageFilter obj)
    • swigRelease

      protected static long swigRelease(InverseDeconvolutionImageFilter obj)
    • finalize

      protected void finalize()
      Overrides:
      finalize in class ImageFilter
    • delete

      public void delete()
      virtual itk::simple::InverseDeconvolutionImageFilter::~InverseDeconvolutionImageFilter() Destructor
      Overrides:
      delete in class ImageFilter
    • setKernelZeroMagnitudeThreshold

      public void setKernelZeroMagnitudeThreshold(double KernelZeroMagnitudeThreshold)
      Self& itk::simple::InverseDeconvolutionImageFilter::SetKernelZeroMagnitudeThreshold(double KernelZeroMagnitudeThreshold) Set/get the threshold value used to determine whether a frequency of the Fourier transform of the blurring kernel is considered to be zero. Default value is 1.0e-4.
    • getKernelZeroMagnitudeThreshold

      public double getKernelZeroMagnitudeThreshold()
      double itk::simple::InverseDeconvolutionImageFilter::GetKernelZeroMagnitudeThreshold() const Set/get the threshold value used to determine whether a frequency of the Fourier transform of the blurring kernel is considered to be zero. Default value is 1.0e-4.
    • setNormalize

      public void setNormalize(boolean Normalize)
      Self& itk::simple::InverseDeconvolutionImageFilter::SetNormalize(bool Normalize) Normalize the output image by the sum of the kernel components
    • normalizeOn

      public void normalizeOn()
      Self& itk::simple::InverseDeconvolutionImageFilter::NormalizeOn() Set the value of Normalize to true or false respectfully.
    • normalizeOff

      public void normalizeOff()
      Self& itk::simple::InverseDeconvolutionImageFilter::NormalizeOff()
    • getNormalize

      public boolean getNormalize()
      bool itk::simple::InverseDeconvolutionImageFilter::GetNormalize() const
    • setBoundaryCondition

      public void setBoundaryCondition(InverseDeconvolutionImageFilter.BoundaryConditionType BoundaryCondition)
      Self& itk::simple::InverseDeconvolutionImageFilter::SetBoundaryCondition(BoundaryConditionType BoundaryCondition)
    • getBoundaryCondition

      BoundaryConditionType itk::simple::InverseDeconvolutionImageFilter::GetBoundaryCondition() const
    • setOutputRegionMode

      public void setOutputRegionMode(InverseDeconvolutionImageFilter.OutputRegionModeType OutputRegionMode)
      Self& itk::simple::InverseDeconvolutionImageFilter::SetOutputRegionMode(OutputRegionModeType OutputRegionMode)
    • getOutputRegionMode

      OutputRegionModeType itk::simple::InverseDeconvolutionImageFilter::GetOutputRegionMode() const
    • getName

      public String getName()
      std::string itk::simple::InverseDeconvolutionImageFilter::GetName() const Name of this class
      Overrides:
      getName in class ProcessObject
    • toString

      public String toString()
      std::string itk::simple::InverseDeconvolutionImageFilter::ToString() const Print ourselves out
      Overrides:
      toString in class ProcessObject
    • execute

      public Image execute(Image image1, Image image2)
      Image itk::simple::InverseDeconvolutionImageFilter::Execute(const Image &image1, const Image &image2) Execute the filter on the input images