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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.
*
*=========================================================================*/
#include "itkConstantBoundaryCondition.h"
#include "itkWienerDeconvolutionImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkTestingMacros.h"
int itkWienerDeconvolutionImageFilterTest(int argc, char * argv[])
{
if ( argc < 4 )
{
std::cout << "Usage: " << argv[0]
<< " inputImage kernelImage outputImage [normalizeImage]" << std::endl;
return EXIT_FAILURE;
}
const int ImageDimension = 2;
typedef float PixelType;
typedef itk::Image< PixelType, ImageDimension > ImageType;
typedef itk::ImageFileReader< ImageType > ReaderType;
ReaderType::Pointer reader1 = ReaderType::New();
reader1->SetFileName( argv[1] );
reader1->Update();
ReaderType::Pointer reader2 = ReaderType::New();
reader2->SetFileName( argv[2] );
reader2->Update();
itk::ConstantBoundaryCondition< ImageType > cbc;
cbc.SetConstant( 0.0 );
typedef itk::FFTConvolutionImageFilter< ImageType > ConvolutionFilterType;
ConvolutionFilterType::Pointer convolutionFilter
= ConvolutionFilterType::New();
convolutionFilter->SetInput( reader1->GetOutput() );
convolutionFilter->SetKernelImage( reader2->GetOutput() );
convolutionFilter->SetBoundaryCondition( &cbc );
// Use the same SizeGreatestPrimeFactor across FFT backends to get
// consistent results.
convolutionFilter->SetSizeGreatestPrimeFactor( 5 );
bool normalize = false;
if( argc >= 5 )
{
normalize = static_cast< bool >( atoi( argv[4] ) );
}
convolutionFilter->SetNormalize( normalize );
typedef itk::WienerDeconvolutionImageFilter< ImageType > DeconvolutionFilterType;
DeconvolutionFilterType::Pointer deconvolutionFilter = DeconvolutionFilterType::New();
deconvolutionFilter->SetInput( convolutionFilter->GetOutput() );
deconvolutionFilter->SetKernelImage( reader2->GetOutput() );
deconvolutionFilter->SetNormalize( normalize );
deconvolutionFilter->SetBoundaryCondition( &cbc );
deconvolutionFilter->SetSizeGreatestPrimeFactor( 5 );
// Check default NoiseVariance value
TEST_SET_GET_VALUE( 0.0, deconvolutionFilter->GetNoiseVariance() );
double noiseVariance = 1.0;
deconvolutionFilter->SetNoiseVariance( noiseVariance );
TEST_SET_GET_VALUE( noiseVariance, deconvolutionFilter->GetNoiseVariance() );
typedef itk::ImageFileWriter< ImageType > WriterType;
WriterType::Pointer writer = WriterType::New();
writer->SetFileName( argv[3] );
writer->SetInput( deconvolutionFilter->GetOutput() );
try
{
writer->Update();
}
catch ( itk::ExceptionObject & excp )
{
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
deconvolutionFilter->Print( std::cout );
// Instantiate types with non-default template parameters
typedef itk::Image< float, ImageDimension > FloatImageType;
typedef itk::Image< double, ImageDimension > DoubleImageType;
typedef itk::Image< int, ImageDimension > IntImageType;
typedef itk::WienerDeconvolutionImageFilter< FloatImageType,
DoubleImageType,
IntImageType,
float > FilterType;
FilterType::Pointer filter = FilterType::New();
filter->Print( std::cout );
return EXIT_SUCCESS;
}
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