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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 itkProjectedLandweberDeconvolutionImageFilter_h
#define itkProjectedLandweberDeconvolutionImageFilter_h
#include "itkProjectedIterativeDeconvolutionImageFilter.h"
#include "itkLandweberDeconvolutionImageFilter.h"
namespace itk
{
/**
* \class ProjectedLandweberDeconvolutionImageFilter
* \brief Deconvolve an image using the projected Landweber
* deconvolution algorithm.
*
* This filter performs the same calculation per iteration as the
* LandweberDeconvolutionImageFilter. However, at each iteration,
* negative pixels in the intermediate result are projected (set) to
* zero. This is useful if the solution is assumed to always be
* non-negative, which is the case when dealing with images formed by
* counting photons, for example.
*
* 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 RichardsonLucyDeconvolutionImageFilter
* \sa LandweberDeconvolutionImageFilter
*/
template <typename TInputImage,
typename TKernelImage = TInputImage,
typename TOutputImage = TInputImage,
typename TInternalPrecision = double>
class ITK_TEMPLATE_EXPORT ProjectedLandweberDeconvolutionImageFilter
: public ProjectedIterativeDeconvolutionImageFilter<
LandweberDeconvolutionImageFilter<TInputImage, TKernelImage, TOutputImage, TInternalPrecision>>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(ProjectedLandweberDeconvolutionImageFilter);
/** Standard type alias. */
using Self = ProjectedLandweberDeconvolutionImageFilter;
using Superclass = ProjectedIterativeDeconvolutionImageFilter<
LandweberDeconvolutionImageFilter<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;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(ProjectedLandweberDeconvolutionImageFilter);
protected:
ProjectedLandweberDeconvolutionImageFilter();
~ProjectedLandweberDeconvolutionImageFilter() override;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkProjectedLandweberDeconvolutionImageFilter.hxx"
#endif
#endif
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