template<typename TInputImage, typename TKernelImage = TInputImage, typename TOutputImage = TInputImage, typename TInternalPrecision = double>
class itk::WienerDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >
The Wiener deconvolution image filter is designed to restore an image convolved with a blurring kernel while keeping noise enhancement to a minimum.
The Wiener filter aims to minimize noise enhancement induced by frequencies with low signal-to-noise ratio. The Wiener filter kernel is defined in the frequency domain as \(W(\omega) = H^*(\omega) / (|H(\omega)|^2 + (1 / SNR(\omega)))\) where \(H(\omega)\) is the Fourier transform of the blurring kernel with which the original image was convolved and the signal-to-noise ratio \(SNR(\omega)\). \(SNR(\omega)\) is defined by \(P_f(\omega) / P_n(\omega)\) where \(P_f(\omega)\) is the power spectral density of the uncorrupted signal and \(P_n(\omega)\) is the power spectral density of the noise. When applied to the input blurred image, this filter produces an estimate \(\hat{f}(x)\) of the true underlying signal \(f(x)\) that minimizes the expected error between \(\hat{f}(x)\) and \(f(x)\).
This filter requires two inputs, the image to be deconvolved and the blurring kernel. These two inputs can be set using the methods SetInput() and SetKernelImage(), respectively.
The power spectral densities of the signal and noise are typically unavailable for a given problem. In particular, \(P_f(\omega)\) cannot be computed from \(f(x)\) because this unknown signal is precisely the signal that this filter aims to recover. Nevertheless, it is common for the noise to have a power spectral density that is flat or decreasing significantly more slowly than the power spectral density of a typical image as the frequency \(\omega\) increases. Hence, \(P_n(\omega)\) can typically be approximated with a constant, and this filter makes this assumption (see the NoiseVariance member variable). \(P_f(\omega)\), on the other hand, will vary with input. This filter computes the power spectral density of the input blurred image, subtracts the power spectral density of the noise, and uses the result as the estimate of \(P_f(\omega)\).
For further information on the Wiener deconvolution filter, please see "Digital Signal Processing" by Kenneth R. Castleman, Prentice Hall, 1995
- Author
- Gaetan Lehmann, Biologie du Developpement et de la Reproduction, INRA de Jouy-en-Josas, France
-
Chris Mullins, The University of North Carolina at Chapel Hill
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Cory Quammen, The University of North Carolina at Chapel Hill
Definition at line 80 of file itkWienerDeconvolutionImageFilter.h.
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using | ConstPointer = SmartPointer< const Self > |
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using | InputImageType = TInputImage |
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using | KernelImageType = TKernelImage |
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using | OutputImageType = TOutputImage |
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using | Pointer = SmartPointer< Self > |
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using | Self = WienerDeconvolutionImageFilter |
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using | Superclass = InverseDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision > |
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using | ConstPointer = SmartPointer< const Self > |
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using | InputImageType = TInputImage |
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using | KernelImageType = TKernelImage |
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using | OutputImageType = TOutputImage |
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using | Pointer = SmartPointer< Self > |
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using | Self = InverseDeconvolutionImageFilter |
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using | Superclass = FFTConvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision > |
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using | ConstPointer = SmartPointer< const Self > |
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using | InputImageType = TInputImage |
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using | InputIndexType = typename InputImageType::IndexType |
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using | InputPixelType = typename InputImageType::PixelType |
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using | InputRegionType = typename InputImageType::RegionType |
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using | InputSizeType = typename InputImageType::SizeType |
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using | InternalComplexImagePointerType = typename InternalComplexImageType::Pointer |
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using | InternalComplexImageType = Image< InternalComplexType, TInputImage::ImageDimension > |
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using | InternalComplexType = std::complex< TInternalPrecision > |
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using | InternalImagePointerType = typename InternalImageType::Pointer |
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using | InternalImageType = Image< TInternalPrecision, TInputImage::ImageDimension > |
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using | InternalIndexType = typename InternalImageType::IndexType |
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using | InternalRegionType = typename InternalImageType::RegionType |
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using | InternalSizeType = typename InternalImageType::SizeType |
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using | KernelImageType = TKernelImage |
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using | KernelIndexType = typename KernelImageType::IndexType |
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using | KernelPixelType = typename KernelImageType::PixelType |
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using | KernelRegionType = typename KernelImageType::RegionType |
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using | KernelSizeType = typename KernelImageType::SizeType |
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using | OutputImageType = TOutputImage |
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using | OutputIndexType = typename OutputImageType::IndexType |
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using | OutputPixelType = typename OutputImageType::PixelType |
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using | OutputRegionType = typename OutputImageType::RegionType |
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using | OutputSizeType = typename OutputImageType::SizeType |
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using | Pointer = SmartPointer< Self > |
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using | Self = FFTConvolutionImageFilter |
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using | SizeValueType = typename InputSizeType::SizeValueType |
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using | Superclass = ConvolutionImageFilterBase< TInputImage, TKernelImage, TOutputImage > |
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using | BoundaryConditionType = ImageBoundaryCondition< TInputImage > |
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using | ConstPointer = SmartPointer< const Self > |
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using | DefaultBoundaryConditionType = ZeroFluxNeumannBoundaryCondition< TInputImage > |
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using | InputImageType = TInputImage |
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using | InputIndexType = typename InputImageType::IndexType |
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using | InputPixelType = typename InputImageType::PixelType |
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using | InputRegionType = typename InputImageType::RegionType |
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using | InputSizeType = typename InputImageType::SizeType |
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using | KernelImageType = TKernelImage |
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using | KernelIndexType = typename KernelImageType::IndexType |
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using | KernelPixelType = typename KernelImageType::PixelType |
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using | KernelRegionType = typename KernelImageType::RegionType |
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using | KernelSizeType = typename KernelImageType::SizeType |
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using | OutputImageType = TOutputImage |
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using | OutputIndexType = typename OutputImageType::IndexType |
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using | OutputPixelType = typename OutputImageType::PixelType |
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using | OutputRegionModeEnum = ConvolutionImageFilterBaseEnums::ConvolutionImageFilterOutputRegion |
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using | OutputRegionType = typename OutputImageType::RegionType |
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using | OutputSizeType = typename OutputImageType::SizeType |
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using | Pointer = SmartPointer< Self > |
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using | Self = ConvolutionImageFilterBase |
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using | SizeValueType = typename InputSizeType::SizeValueType |
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using | Superclass = ImageToImageFilter< TInputImage, TOutputImage > |
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using | ConstPointer = SmartPointer< const Self > |
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using | InputImageConstPointer = typename InputImageType::ConstPointer |
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using | InputImagePixelType = typename InputImageType::PixelType |
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using | InputImagePointer = typename InputImageType::Pointer |
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using | InputImageRegionType = typename InputImageType::RegionType |
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using | InputImageType = TInputImage |
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using | Pointer = SmartPointer< Self > |
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using | Self = ImageToImageFilter |
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using | Superclass = ImageSource< TOutputImage > |
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using | ConstPointer = SmartPointer< const Self > |
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using | DataObjectIdentifierType = Superclass::DataObjectIdentifierType |
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using | DataObjectPointer = DataObject::Pointer |
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using | DataObjectPointerArraySizeType = Superclass::DataObjectPointerArraySizeType |
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using | OutputImagePixelType = typename OutputImageType::PixelType |
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using | OutputImagePointer = typename OutputImageType::Pointer |
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using | OutputImageRegionType = typename OutputImageType::RegionType |
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using | OutputImageType = TOutputImage |
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using | Pointer = SmartPointer< Self > |
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using | Self = ImageSource |
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using | Superclass = ProcessObject |
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using | ConstPointer = SmartPointer< const Self > |
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using | DataObjectIdentifierType = DataObject::DataObjectIdentifierType |
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using | DataObjectPointer = DataObject::Pointer |
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using | DataObjectPointerArray = std::vector< DataObjectPointer > |
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using | DataObjectPointerArraySizeType = DataObjectPointerArray::size_type |
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using | MultiThreaderType = MultiThreaderBase |
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using | NameArray = std::vector< DataObjectIdentifierType > |
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using | Pointer = SmartPointer< Self > |
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using | Self = ProcessObject |
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using | Superclass = Object |
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using | ConstPointer = SmartPointer< const Self > |
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using | Pointer = SmartPointer< Self > |
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using | Self = Object |
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using | Superclass = LightObject |
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using | ConstPointer = SmartPointer< const Self > |
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using | Pointer = SmartPointer< Self > |
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using | Self = LightObject |
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void | GenerateData () override |
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void | PrintSelf (std::ostream &os, Indent indent) const override |
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| WienerDeconvolutionImageFilter () |
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| ~WienerDeconvolutionImageFilter () override=default |
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| InverseDeconvolutionImageFilter () |
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| ~InverseDeconvolutionImageFilter () override=default |
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void | CropOutput (InternalImageType *paddedOutput, ProgressAccumulator *progress, float progressWeight) |
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| FFTConvolutionImageFilter () |
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void | GenerateInputRequestedRegion () override |
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InternalSizeType | GetFFTPadSize () const |
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KernelSizeType | GetKernelRadius () 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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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 () override=default |
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| ConvolutionImageFilterBase () |
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void | GenerateOutputInformation () override |
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OutputRegionType | GetValidRegion () const |
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void | VerifyInputInformation () const override |
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| ~ConvolutionImageFilterBase () override=default |
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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 () override=default |
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virtual void | PushBackInput (const DataObject *input) |
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virtual void | PushFrontInput (const DataObject *input) |
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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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void | ClassicMultiThread (ThreadFunctionType callbackFunction) |
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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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| ~ImageSource () override=default |
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virtual void | ThreadedGenerateData (const OutputImageRegionType ®ion, ThreadIdType threadId) |
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virtual void | DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread) |
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virtual bool | GetDynamicMultiThreading () const |
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virtual void | SetDynamicMultiThreading (bool _arg) |
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virtual void | DynamicMultiThreadingOn () |
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virtual void | AddInput (DataObject *input) |
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void | AddOptionalInputName (const DataObjectIdentifierType &) |
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void | AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx) |
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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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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 | PushBackInput (const DataObject *input) |
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virtual void | PushFrontInput (const DataObject *input) |
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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 idx, DataObject *input) |
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virtual void | SetNthOutput (DataObjectPointerArraySizeType idx, 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 &name, DataObject *output) |
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virtual void | SetPrimaryInput (DataObject *object) |
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virtual void | SetPrimaryOutput (DataObject *object) |
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void | SetRequiredInputNames (const NameArray &) |
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virtual void | VerifyPreconditions () const |
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| ~ProcessObject () override |
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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 () 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 () const |
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DataObject * | GetOutput (DataObjectPointerArraySizeType i) |
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const DataObject * | GetOutput (DataObjectPointerArraySizeType i) const |
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DataObject * | GetPrimaryOutput () |
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const DataObject * | GetPrimaryOutput () const |
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virtual bool | GetThreaderUpdateProgress () const |
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virtual void | ThreaderUpdateProgressOn () |
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virtual void | SetThreaderUpdateProgress (bool arg) |
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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 &timeStamp) |
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| ~Object () override |
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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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