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/*=========================================================================
*
* Copyright NumFOCUS
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#ifndef itkRichardsonLucyDeconvolutionImageFilter_h
#define itkRichardsonLucyDeconvolutionImageFilter_h
#include "itkIterativeDeconvolutionImageFilter.h"
#include "itkComplexConjugateImageAdaptor.h"
#include "itkDivideOrZeroOutImageFilter.h"
#include "itkMultiplyImageFilter.h"
namespace itk
{
/**
* \class RichardsonLucyDeconvolutionImageFilter
* \brief Deconvolve an image using the Richardson-Lucy deconvolution
* algorithm.
*
* This filter implements the Richardson-Lucy deconvolution algorithm
* as defined in Bertero M and Boccacci P, "Introduction to Inverse
* Problems in Imaging", 1998. The algorithm assumes that the input
* image has been formed by a linear shift-invariant system with a
* known kernel.
*
* The Richardson-Lucy algorithm assumes that noise in the image
* follows a Poisson distribution and that the distribution for each
* pixel is independent of the other pixels.
*
* This code was adapted from the Insight Journal contribution:
*
* "Deconvolution: infrastructure and reference algorithms"
* by Gaetan Lehmann
* https://www.insight-journal.org/browse/publication/753
*
* \author Gaetan Lehmann, Biologie du Developpement et de la Reproduction, INRA de Jouy-en-Josas, France
* \author Cory Quammen, The University of North Carolina at Chapel Hill
*
* \ingroup ITKDeconvolution
* \sa IterativeDeconvolutionImageFilter
* \sa LandweberDeconvolutionImageFilter
* \sa ProjectedLandweberDeconvolutionImageFilter
*
*/
template <typename TInputImage,
typename TKernelImage = TInputImage,
typename TOutputImage = TInputImage,
typename TInternalPrecision = double>
class ITK_TEMPLATE_EXPORT RichardsonLucyDeconvolutionImageFilter
: public IterativeDeconvolutionImageFilter<TInputImage, TKernelImage, TOutputImage, TInternalPrecision>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(RichardsonLucyDeconvolutionImageFilter);
/** Standard type alias. */
using Self = RichardsonLucyDeconvolutionImageFilter;
using Superclass = IterativeDeconvolutionImageFilter<TInputImage, TKernelImage, TOutputImage, TInternalPrecision>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Other useful type alias. */
using InputImageType = TInputImage;
using KernelImageType = TKernelImage;
using OutputImageType = TOutputImage;
/** Internal types used by the FFT filters. */
using typename Superclass::InternalImageType;
using typename Superclass::InternalImagePointerType;
using typename Superclass::InternalComplexType;
using typename Superclass::InternalComplexImageType;
using typename Superclass::InternalComplexImagePointerType;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(RichardsonLucyDeconvolutionImageFilter);
protected:
RichardsonLucyDeconvolutionImageFilter();
~RichardsonLucyDeconvolutionImageFilter() override;
void
Initialize(ProgressAccumulator * progress, float progressWeight, float iterationProgressWeight) override;
void
Iteration(ProgressAccumulator * progress, float iterationProgressWeight) override;
void
Finish(ProgressAccumulator * progress, float progressWeight) override;
using typename Superclass::FFTFilterType;
using typename Superclass::IFFTFilterType;
void
PrintSelf(std::ostream & os, Indent indent) const override;
private:
/** Filters to compute each iterative update step. */
using MultiplyFilterType = MultiplyImageFilter<InternalImageType>;
using ComplexMultiplyType = MultiplyImageFilter<InternalComplexImageType>;
using DivideFilterType = DivideOrZeroOutImageFilter<InternalImageType>;
using ConjugateAdaptorType = ComplexConjugateImageAdaptor<InternalComplexImageType>;
using ComplexConjugateMultiplyType =
MultiplyImageFilter<InternalComplexImageType, ConjugateAdaptorType, InternalComplexImageType>;
InternalImagePointerType m_PaddedInput{};
typename ComplexMultiplyType::Pointer m_ComplexMultiplyFilter1{};
typename IFFTFilterType::Pointer m_IFFTFilter1{};
typename DivideFilterType::Pointer m_DivideFilter{};
typename FFTFilterType::Pointer m_FFTFilter{};
typename ConjugateAdaptorType::Pointer m_ConjugateAdaptor{};
typename ComplexConjugateMultiplyType::Pointer m_ComplexMultiplyFilter2{};
typename IFFTFilterType::Pointer m_IFFTFilter2{};
typename MultiplyFilterType::Pointer m_MultiplyFilter{};
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkRichardsonLucyDeconvolutionImageFilter.hxx"
#endif
#endif
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