RTK  2.6.0
Reconstruction Toolkit
rtkDenoisingBPDQImageFilter.h
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18 
19 #ifndef rtkDenoisingBPDQImageFilter_h
20 #define rtkDenoisingBPDQImageFilter_h
21 
24 
25 #include <itkCastImageFilter.h>
26 #include <itkSubtractImageFilter.h>
27 #include <itkMultiplyImageFilter.h>
28 #include <itkInPlaceImageFilter.h>
29 
30 namespace rtk
31 {
40 template <typename TOutputImage, typename TGradientImage>
41 class ITK_TEMPLATE_EXPORT DenoisingBPDQImageFilter : public itk::InPlaceImageFilter<TOutputImage, TOutputImage>
42 {
43 public:
44  ITK_DISALLOW_COPY_AND_MOVE(DenoisingBPDQImageFilter);
45 
51 
53  itkNewMacro(Self);
54 
56  itkOverrideGetNameOfClassMacro(DenoisingBPDQImageFilter);
57 
59  typedef ForwardDifferenceGradientImageFilter<TOutputImage,
60  typename TOutputImage::ValueType,
61  typename TOutputImage::ValueType,
62  TGradientImage>
69 
70  itkGetMacro(NumberOfIterations, int);
71  itkSetMacro(NumberOfIterations, int);
72 
73  itkSetMacro(Gamma, double);
74  itkGetMacro(Gamma, double);
75 
76 protected:
78  ~DenoisingBPDQImageFilter() override = default;
79 
80  void
81  GenerateData() override;
82 
83  void
84  GenerateOutputInformation() override;
85 
86  virtual ThresholdFilterType *
88  {
89  return nullptr;
90  }
91 
98 
99  double m_Gamma;
100  double m_Beta;
101  double m_MinSpacing;
103  bool m_DimensionsProcessed[TOutputImage::ImageDimension];
104 
105 private:
106  virtual void
107  SetPipelineForFirstIteration();
108  virtual void
109  SetPipelineAfterFirstIteration();
110 };
111 
112 } // namespace rtk
113 
114 #ifndef ITK_MANUAL_INSTANTIATION
115 # include "rtkDenoisingBPDQImageFilter.hxx"
116 #endif
117 
118 #endif //__rtkDenoisingBPDQImageFilter__
DivergenceFilterType::Pointer m_DivergenceFilter
ForwardDifferenceGradientImageFilter< TOutputImage, typename TOutputImage::ValueType, typename TOutputImage::ValueType, TGradientImage > GradientFilterType
MultiplyFilterType::Pointer m_MultiplyFilter
Base class for Basis Pursuit DeQuantization denoising filters.
#define itkSetMacro(name, type)
Computes the gradient of an image using forward difference.
SubtractImageFilterType::Pointer m_SubtractFilter
SubtractGradientFilterType::Pointer m_SubtractGradientFilter
Computes the backward differences divergence (adjoint of the forward differences gradient) of the inp...
GradientFilterType::Pointer m_GradientFilter
virtual ThresholdFilterType * GetThresholdFilter()