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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 itkHalfHermitianToRealInverseFFTImageFilter_hxx
#define itkHalfHermitianToRealInverseFFTImageFilter_hxx
#include "itkVnlHalfHermitianToRealInverseFFTImageFilter.h"
#if defined( ITK_USE_FFTWD ) || defined( ITK_USE_FFTWF )
#include "itkFFTWHalfHermitianToRealInverseFFTImageFilter.h"
#endif
namespace itk
{
// Partial specialization allows avoiding runtime type choice
template< typename TSelfPointer, typename TInputImage, typename TOutputImage, typename TPixel >
struct Dispatch_C2R_New
{
static TSelfPointer Apply()
{
return VnlHalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >
::New().GetPointer();
}
};
#ifdef ITK_USE_FFTWD
template < typename TSelfPointer, typename TInputImage, typename TOutputImage >
struct Dispatch_C2R_New< TSelfPointer, TInputImage, TOutputImage, double >
{
static TSelfPointer Apply()
{
return FFTWHalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >
::New().GetPointer();
}
};
#endif
#ifdef ITK_USE_FFTWF
template< typename TSelfPointer, typename TInputImage, typename TOutputImage >
struct Dispatch_C2R_New< TSelfPointer, TInputImage, TOutputImage, float >
{
static TSelfPointer Apply()
{
return FFTWHalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >
::New().GetPointer();
}
};
#endif
template< typename TInputImage, typename TOutputImage >
typename HalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >::Pointer
HalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >
::New(void)
{
Pointer smartPtr = ::itk::ObjectFactory< Self >::Create();
if ( smartPtr.IsNull() )
{
smartPtr = Dispatch_C2R_New<Pointer, TInputImage, TOutputImage, OutputPixelType>::Apply();
}
return smartPtr;
}
template< typename TInputImage, typename TOutputImage >
HalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >
::HalfHermitianToRealInverseFFTImageFilter()
{
this->ActualXDimensionIsOddOff();
}
template< typename TInputImage, typename TOutputImage >
void
HalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >
::GenerateOutputInformation()
{
// call the superclass' implementation of this method
Superclass::GenerateOutputInformation();
// get pointers to the input and output
typename InputImageType::ConstPointer inputPtr = this->GetInput();
typename OutputImageType::Pointer outputPtr = this->GetOutput();
if ( !inputPtr || !outputPtr )
{
return;
}
// This is all based on the same function in itk::ShrinkImageFilter.
// ShrinkImageFilter also modifies the image spacing, but spacing
// has no meaning in the result of an FFT. For an IFFT, since the
// spacing is propagated to the complex result, we can use the spacing
// from the input to propagate back to the output.
const typename InputImageType::SizeType & inputSize =
inputPtr->GetLargestPossibleRegion().GetSize();
const typename InputImageType::IndexType & inputStartIndex =
inputPtr->GetLargestPossibleRegion().GetIndex();
typename OutputImageType::SizeType outputSize;
typename OutputImageType::IndexType outputStartIndex;
// In 4.3.4 of the FFTW documentation, they indicate the size of
// of a real-to-complex FFT is N * N ... + (N /2+1)
// 1 2 d
// complex numbers.
// Going from complex to real, you know the output is at least
// twice the size in the last dimension as the input, but it might
// be 2*size+1. Consequently, you need to check whether the actual
// X dimension is even or odd.
outputSize[0] = ( inputSize[0] - 1 ) * 2;
if ( this->GetActualXDimensionIsOdd() )
{
outputSize[0]++;
}
outputStartIndex[0] = inputStartIndex[0];
for ( unsigned int i = 1; i < OutputImageType::ImageDimension; i++ )
{
outputSize[i] = inputSize[i];
outputStartIndex[i] = inputStartIndex[i];
}
typename OutputImageType::RegionType outputLargestPossibleRegion;
outputLargestPossibleRegion.SetSize( outputSize );
outputLargestPossibleRegion.SetIndex( outputStartIndex );
outputPtr->SetLargestPossibleRegion( outputLargestPossibleRegion );
}
template< typename TInputImage, typename TOutputImage >
void
HalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >
::GenerateInputRequestedRegion()
{
Superclass::GenerateInputRequestedRegion();
// Get pointers to the input and output
typename InputImageType::Pointer inputPtr =
const_cast< InputImageType * >( this->GetInput() );
if ( inputPtr )
{
inputPtr->SetRequestedRegionToLargestPossibleRegion();
}
}
template< typename TInputImage, typename TOutputImage >
void
HalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >
::EnlargeOutputRequestedRegion(DataObject *)
{
this->GetOutput()
->SetRequestedRegion( this->GetOutput()->GetLargestPossibleRegion() );
}
template< typename TInputImage, typename TOutputImage >
SizeValueType
HalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >
::GetSizeGreatestPrimeFactor() const
{
return 2;
}
}
#endif
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