template<typename TInputImage, typename TKernelImage = TInputImage, typename TOutputImage = TInputImage, typename TInternalPrecision = double>
class itk::FFTConvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >
Convolve a given image with an arbitrary image kernel using multiplication in the Fourier domain.
This filter produces output equivalent to the output of the ConvolutionImageFilter. However, it takes advantage of the convolution theorem to accelerate the convolution computation when the kernel is large.
- Warning
- This filter ignores the spacing, origin, and orientation of the kernel image and treats them as identical to those in the input image.
This code was adapted from the Insight Journal contribution:
"FFT Based Convolution" by Gaetan Lehmann https://hdl.handle.net/10380/3154
- See also
- ConvolutionImageFilter
Definition at line 54 of file itkFFTConvolutionImageFilter.h.
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void | CropOutput (InternalImageType *paddedOutput, ProgressAccumulator *progress, float progressWeight) |
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| FFTConvolutionImageFilter () |
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void | GenerateData () override |
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void | GenerateInputRequestedRegion () override |
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InputSizeType | GetPadLowerBound () const |
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InputSizeType | GetPadSize () const |
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bool | GetXDimensionIsOdd () const |
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void | PadInput (const InputImageType *input, InternalImagePointerType &paddedInput, ProgressAccumulator *progress, float progressWeight) |
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void | PrepareInput (const InputImageType *input, InternalComplexImagePointerType &preparedInput, ProgressAccumulator *progress, float progressWeight) |
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void | PrepareInputs (const InputImageType *input, const KernelImageType *kernel, InternalComplexImagePointerType &preparedInput, InternalComplexImagePointerType &preparedKernel, ProgressAccumulator *progress, float progressWeight) |
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void | PrepareKernel (const KernelImageType *kernel, InternalComplexImagePointerType &preparedKernel, ProgressAccumulator *progress, float progressWeight) |
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virtual void | PrintSelf (std::ostream &os, Indent indent) const override |
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void | ProduceOutput (InternalComplexImageType *paddedOutput, ProgressAccumulator *progress, float progressWeight) |
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void | TransformPaddedInput (const InternalImageType *paddedInput, InternalComplexImagePointerType &transformedInput, ProgressAccumulator *progress, float progressWeight) |
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| ~FFTConvolutionImageFilter () |
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| ConvolutionImageFilterBase () |
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void | GenerateOutputInformation () override |
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OutputRegionType | GetValidRegion () const |
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virtual void | VerifyInputInformation () override |
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| ~ConvolutionImageFilterBase () |
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virtual void | CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion) |
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virtual void | CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion) |
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| ImageToImageFilter () |
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| ~ImageToImageFilter () |
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void | PushBackInput (const DataObject *input) override |
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void | PushFrontInput (const DataObject *input) override |
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virtual void | AfterThreadedGenerateData () |
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virtual void | AllocateOutputs () |
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virtual void | BeforeThreadedGenerateData () |
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virtual const ImageRegionSplitterBase * | GetImageRegionSplitter () const |
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| ImageSource () |
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virtual unsigned int | SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion) |
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virtual void | ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId) |
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virtual | ~ImageSource () |
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virtual void | AddInput (DataObject *input) |
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virtual void | AddOutput (DataObject *output) |
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bool | AddRequiredInputName (const DataObjectIdentifierType &) |
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bool | AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx) |
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virtual void | CacheInputReleaseDataFlags () |
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virtual void | GenerateOutputRequestedRegion (DataObject *output) |
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DataObject * | GetInput (const DataObjectIdentifierType &key) |
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const DataObject * | GetInput (const DataObjectIdentifierType &key) const |
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virtual const DataObjectPointerArraySizeType & | GetNumberOfRequiredInputs () const |
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virtual const DataObjectPointerArraySizeType & | GetNumberOfRequiredOutputs () const |
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bool | IsIndexedInputName (const DataObjectIdentifierType &) const |
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bool | IsIndexedOutputName (const DataObjectIdentifierType &) const |
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bool | IsRequiredInputName (const DataObjectIdentifierType &) const |
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| itkLegacyMacro (virtual void RemoveOutput(DataObject *output)) |
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| itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num)) |
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| itkLegacyMacro (virtual void RemoveInput(DataObject *input)) |
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| itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num)) |
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DataObjectPointerArraySizeType | MakeIndexFromInputName (const DataObjectIdentifierType &name) const |
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DataObjectPointerArraySizeType | MakeIndexFromOutputName (const DataObjectIdentifierType &name) const |
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DataObjectIdentifierType | MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const |
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DataObjectIdentifierType | MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const |
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| ProcessObject () |
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virtual void | PropagateResetPipeline () |
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virtual void | ReleaseInputs () |
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virtual void | RemoveInput (const DataObjectIdentifierType &key) |
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virtual void | RemoveInput (DataObjectPointerArraySizeType) |
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virtual void | RemoveOutput (const DataObjectIdentifierType &key) |
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virtual void | RemoveOutput (DataObjectPointerArraySizeType idx) |
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bool | RemoveRequiredInputName (const DataObjectIdentifierType &) |
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virtual void | RestoreInputReleaseDataFlags () |
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virtual void | SetInput (const DataObjectIdentifierType &key, DataObject *input) |
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virtual void | SetNthInput (DataObjectPointerArraySizeType num, DataObject *input) |
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virtual void | SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output) |
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void | SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num) |
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void | SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num) |
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virtual void | SetNumberOfRequiredInputs (DataObjectPointerArraySizeType) |
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virtual void | SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg) |
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virtual void | SetOutput (const DataObjectIdentifierType &key, DataObject *output) |
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virtual void | SetPrimaryInput (DataObject *input) |
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virtual void | SetPrimaryOutput (DataObject *output) |
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void | SetRequiredInputNames (const NameArray &) |
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virtual void | VerifyPreconditions () |
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| ~ProcessObject () |
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DataObject * | GetInput (DataObjectPointerArraySizeType idx) |
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const DataObject * | GetInput (DataObjectPointerArraySizeType idx) const |
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DataObject * | GetPrimaryInput () |
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const DataObject * | GetPrimaryInput () const |
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virtual void | SetPrimaryInputName (const DataObjectIdentifierType &key) |
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virtual const char * | GetPrimaryInputName (void) const |
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DataObject * | GetOutput (const DataObjectIdentifierType &key) |
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const DataObject * | GetOutput (const DataObjectIdentifierType &key) const |
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virtual void | SetPrimaryOutputName (const DataObjectIdentifierType &key) |
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virtual const char * | GetPrimaryOutputName (void) const |
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DataObject * | GetOutput (DataObjectPointerArraySizeType idx) |
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const DataObject * | GetOutput (DataObjectPointerArraySizeType idx) const |
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DataObject * | GetPrimaryOutput () |
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const DataObject * | GetPrimaryOutput () const |
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| Object () |
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bool | PrintObservers (std::ostream &os, Indent indent) const |
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virtual void | SetTimeStamp (const TimeStamp &time) |
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virtual | ~Object () |
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virtual LightObject::Pointer | InternalClone () const |
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| LightObject () |
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virtual void | PrintHeader (std::ostream &os, Indent indent) const |
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virtual void | PrintTrailer (std::ostream &os, Indent indent) const |
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virtual | ~LightObject () |
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template<typename TInputImage, typename TKernelImage = TInputImage, typename TOutputImage = TInputImage, typename TInternalPrecision = double>
virtual::itk::LightObject::Pointer itk::FFTConvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >::CreateAnother |
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const |
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Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.
Reimplemented from itk::Object.
Reimplemented in itk::LandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::WienerDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::RichardsonLucyDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::ProjectedLandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::InverseDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::ProjectedIterativeDeconvolutionImageFilter< LandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision > >, and itk::TikhonovDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >.
template<typename TInputImage, typename TKernelImage = TInputImage, typename TOutputImage = TInputImage, typename TInternalPrecision = double>
template<typename TInputImage, typename TKernelImage = TInputImage, typename TOutputImage = TInputImage, typename TInternalPrecision = double>
Get the lower bound for the padding of both the kernel and input images. Assuming that the regions of the kernel and input are the same, then this lower bound can be used to move the index of the padded kernel and padded input so that they are the same. This is important to avoid exceptions in filters that operate on these images.
template<typename TInputImage, typename TKernelImage = TInputImage, typename TOutputImage = TInputImage, typename TInternalPrecision = double>
Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.
Reimplemented from itk::ConvolutionImageFilterBase< TInputImage, TKernelImage, TOutputImage >.
Reimplemented in itk::LandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::IterativeDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::IterativeDeconvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage >, itk::WienerDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >, itk::InverseDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::TikhonovDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, and itk::RichardsonLucyDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >.