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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.
*
*=========================================================================*/
#include "itkImage.h"
#include "itkLandweberDeconvolutionImageFilter.h"
#include "itkProjectedIterativeDeconvolutionImageFilter.h"
#include "itkSimpleFilterWatcher.h"
int
itkProjectedIterativeDeconvolutionImageFilterTest(int, char *[])
{
// Declare the image type
using ImageType = itk::Image<float, 2>;
// Declare the base deconvolution filter choice
using BaseDeconvolutionFilterType = itk::LandweberDeconvolutionImageFilter<ImageType>;
// Declare a projected version of the base deconvolution image filter
using ProjectedDeconvolutionFilterType = itk::ProjectedIterativeDeconvolutionImageFilter<BaseDeconvolutionFilterType>;
// Just instantiate the filter and print it
auto deconvolutionFilter = ProjectedDeconvolutionFilterType::New();
deconvolutionFilter->Print(std::cout);
itk::SimpleFilterWatcher watcher(deconvolutionFilter);
return EXIT_SUCCESS;
}
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