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sitkWienerDeconvolutionImageFilter.h
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1/*=========================================================================
2*
3* Copyright NumFOCUS
4*
5* Licensed under the Apache License, Version 2.0 (the "License");
6* you may not use this file except in compliance with the License.
7* You may obtain a copy of the License at
8*
9* http://www.apache.org/licenses/LICENSE-2.0.txt
10*
11* Unless required by applicable law or agreed to in writing, software
12* distributed under the License is distributed on an "AS IS" BASIS,
13* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14* See the License for the specific language governing permissions and
15* limitations under the License.
16*
17*=========================================================================*/
18#ifndef sitkWienerDeconvolutionImageFilter_h
19#define sitkWienerDeconvolutionImageFilter_h
20
21/*
22 * WARNING: DO NOT EDIT THIS FILE!
23 * THIS FILE IS AUTOMATICALLY GENERATED BY THE SIMPLEITK BUILD PROCESS.
24 * Please look at sitkImageFilterTemplate.h.jinja to make changes.
25 */
26
27#include <memory>
28
29#include "sitkBasicFilters.h"
30#include "sitkImageFilter.h"
32
33namespace itk::simple {
34
74public:
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88
89
93 void
94 SetNoiseVariance(double NoiseVariance )
95 { this->m_NoiseVariance = NoiseVariance; }
96
99 double
100 GetNoiseVariance() const { return this->m_NoiseVariance; }
101
102
106 void
109
111 void
112 NormalizeOn() { return this->SetNormalize(true); }
113 void
114 NormalizeOff() { return this->SetNormalize(false); }
117 bool
118 GetNormalize() const { return this->m_Normalize; }
119
120 typedef enum { ZERO_PAD, ZERO_FLUX_NEUMANN_PAD, PERIODIC_PAD } BoundaryConditionType;
121
124 void
126 { this->m_BoundaryCondition = BoundaryCondition; }
127
129 BoundaryConditionType
131
132 typedef enum { SAME, VALID } OutputRegionModeType;
133
136 void
138 { this->m_OutputRegionMode = OutputRegionMode; }
139
141 OutputRegionModeType
142 GetOutputRegionMode() const { return this->m_OutputRegionMode; }
143
144
146 std::string GetName() const { return std::string("WienerDeconvolutionImageFilter"); }
147
149 std::string ToString() const;
150
151
153 Image Execute(const Image &image1, const Image &image2);
154
155
156private:
158 using MemberFunctionType = Image (Self::*)(const Image &image1, const Image &image2);
159 template <class TImageType> Image ExecuteInternal(const Image &image1, const Image &image2);
162
163
164 double m_NoiseVariance{ 0.0 };
165
166 bool m_Normalize{ false };
167
169
171
172
173
174
175
176
177
178};
179
180
191);
192
194
195}
196#endif
The Image class for SimpleITK.
Definition sitkImage.h:77
Image(Self::*)(const Image &image1, const Image &image2) MemberFunctionType
void SetBoundaryCondition(BoundaryConditionType BoundaryCondition)
Image Execute(const Image &image1, const Image &image2)
Image ExecuteInternal(const Image &image1, const Image &image2)
static const detail::MemberFunctionFactory< MemberFunctionType > & GetMemberFunctionFactory()
void SetOutputRegionMode(OutputRegionModeType OutputRegionMode)
A class used to instantiate and generate function object to templated member functions.
Image WienerDeconvolution(const Image &image1, const Image &image2, double noiseVariance=0.0, bool normalize=false, WienerDeconvolutionImageFilter::BoundaryConditionType boundaryCondition=itk::simple::WienerDeconvolutionImageFilter::ZERO_FLUX_NEUMANN_PAD, WienerDeconvolutionImageFilter::OutputRegionModeType outputRegionMode=itk::simple::WienerDeconvolutionImageFilter::SAME)
The Wiener deconvolution image filter is designed to restore an image convolved with a blurring kerne...
Image Normalize(const Image &image1)
Normalize an image by setting its mean to zero and variance to one.
typelist2::typelist< BasicPixelID< int8_t >, BasicPixelID< uint8_t >, BasicPixelID< int16_t >, BasicPixelID< uint16_t >, BasicPixelID< int32_t >, BasicPixelID< uint32_t >, BasicPixelID< float >, BasicPixelID< double > > BasicPixelIDTypeList
#define SITKBasicFilters_EXPORT