/*=========================================================================
 *
 *  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 itkTikhonovDeconvolutionImageFilter_hxx
#define itkTikhonovDeconvolutionImageFilter_hxx


#include "itkBinaryGeneratorImageFilter.h"

namespace itk
{

template <typename TInputImage, typename TKernelImage, typename TOutputImage, typename TInternalPrecision>
TikhonovDeconvolutionImageFilter<TInputImage, TKernelImage, TOutputImage, TInternalPrecision>::
  TikhonovDeconvolutionImageFilter()
{
  m_RegularizationConstant = 0.0;
}

template <typename TInputImage, typename TKernelImage, typename TOutputImage, typename TInternalPrecision>
void
TikhonovDeconvolutionImageFilter<TInputImage, TKernelImage, TOutputImage, TInternalPrecision>::GenerateData()
{
  // Create a process accumulator for tracking the progress of this
  // minipipeline
  auto progress = ProgressAccumulator::New();
  progress->SetMiniPipelineFilter(this);

  auto localInput = InputImageType::New();
  localInput->Graft(this->GetInput());

  const KernelImageType * kernelImage = this->GetKernelImage();

  InternalComplexImagePointerType input = nullptr;
  InternalComplexImagePointerType kernel = nullptr;

  this->PrepareInputs(localInput, kernelImage, input, kernel, progress, 0.7);

  using FunctorType =
    Functor::TikhonovDeconvolutionFunctor<InternalComplexType, InternalComplexType, InternalComplexType>;
  FunctorType tikhonovFunctor;
  tikhonovFunctor.SetRegularizationConstant(this->GetRegularizationConstant());
  tikhonovFunctor.SetKernelZeroMagnitudeThreshold(this->GetKernelZeroMagnitudeThreshold());

  using TikhonovFilterType =
    BinaryGeneratorImageFilter<InternalComplexImageType, InternalComplexImageType, InternalComplexImageType>;
  auto tikhonovFilter = TikhonovFilterType::New();
  tikhonovFilter->SetInput1(input);
  tikhonovFilter->SetInput2(kernel);
  tikhonovFilter->SetFunctor(tikhonovFunctor);
  tikhonovFilter->ReleaseDataFlagOn();

  progress->RegisterInternalFilter(tikhonovFilter, 0.1);

  // Free up the memory for the prepared inputs
  input = nullptr;
  kernel = nullptr;

  this->ProduceOutput(tikhonovFilter->GetOutput(), progress, 0.2);
}

template <typename TInputImage, typename TOutputImage, typename TKernelImage, typename TInternalPrecision>
void
TikhonovDeconvolutionImageFilter<TInputImage, TOutputImage, TKernelImage, TInternalPrecision>::PrintSelf(
  std::ostream & os,
  Indent         indent) const
{
  this->Superclass::PrintSelf(os, indent);

  os << indent << "RegularizationConstant: " << m_RegularizationConstant << std::endl;
}

} // end namespace itk
#endif
