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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* 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
*
* http://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 itkLandweberDeconvolutionImageFilter_hxx
#define itkLandweberDeconvolutionImageFilter_hxx
#include "itkLandweberDeconvolutionImageFilter.h"
namespace itk
{
template< typename TInputImage, typename TKernelImage, typename TOutputImage, typename TInternalPrecision >
LandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >
::LandweberDeconvolutionImageFilter()
{
m_Alpha = 0.1;
m_TransformedInput = ITK_NULLPTR;
}
template< typename TInputImage, typename TKernelImage, typename TOutputImage, typename TInternalPrecision >
LandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >
::~LandweberDeconvolutionImageFilter()
{
m_TransformedInput = ITK_NULLPTR;
}
template< typename TInputImage, typename TKernelImage, typename TOutputImage, typename TInternalPrecision >
void
LandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >
::Initialize(ProgressAccumulator * progress, float progressWeight,
float iterationProgressWeight)
{
this->Superclass::Initialize( progress, 0.5f * progressWeight,
iterationProgressWeight );
this->PrepareInput( this->GetInput(), m_TransformedInput, progress,
0.5f * progressWeight );
// Set up minipipeline to compute estimate at each iteration
m_LandweberFilter = LandweberFilterType::New();
m_LandweberFilter->SetNumberOfThreads( this->GetNumberOfThreads() );
// Transform of current estimate will be set as input 1 in Iteration()
m_LandweberFilter->SetInput2( this->m_TransferFunction );
m_LandweberFilter->SetInput3( m_TransformedInput );
m_LandweberFilter->GetFunctor().m_Alpha = m_Alpha;
m_LandweberFilter->ReleaseDataFlagOn();
progress->RegisterInternalFilter( m_LandweberFilter,
0.3f * iterationProgressWeight );
m_IFFTFilter = IFFTFilterType::New();
m_IFFTFilter->SetNumberOfThreads( this->GetNumberOfThreads() );
m_IFFTFilter->SetActualXDimensionIsOdd( this->GetXDimensionIsOdd() );
m_IFFTFilter->SetInput( m_LandweberFilter->GetOutput() );
m_IFFTFilter->ReleaseDataFlagOn();
progress->RegisterInternalFilter( m_IFFTFilter,
0.7f * iterationProgressWeight );
}
template< typename TInputImage, typename TKernelImage, typename TOutputImage, typename TInternalPrecision >
void
LandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >
::Iteration(ProgressAccumulator * progress, float iterationProgressWeight)
{
// Set up minipipeline to compute the new estimate
InternalComplexImagePointerType transformedEstimate;
this->TransformPaddedInput( this->m_CurrentEstimate,
transformedEstimate, progress,
0.1f * iterationProgressWeight );
// Set the inputs
m_LandweberFilter->SetInput1( transformedEstimate );
// Trigger the update
m_IFFTFilter->UpdateLargestPossibleRegion();
// Store the current estimate
this->m_CurrentEstimate = m_IFFTFilter->GetOutput();
this->m_CurrentEstimate->DisconnectPipeline();
}
template< typename TInputImage, typename TKernelImage, typename TOutputImage, typename TInternalPrecision >
void
LandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >
::Finish(ProgressAccumulator * progress, float progressWeight)
{
this->Superclass::Finish( progress, progressWeight );
m_LandweberFilter = ITK_NULLPTR;
m_IFFTFilter = ITK_NULLPTR;
}
template< typename TInputImage, typename TKernelImage, typename TOutputImage, typename TInternalPrecision >
void
LandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >
::PrintSelf(std::ostream & os, Indent indent) const
{
this->Superclass::PrintSelf( os, indent );
os << indent << "Alpha: " << m_Alpha << std::endl;
}
} // end namespace itk
#endif
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