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/*
* Copyright (C) 2005-2022 Centre National d'Etudes Spatiales (CNES)
*
* This file is part of Orfeo Toolbox
*
* https://www.orfeo-toolbox.org/
*
* 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
*
* 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 otbLeeImageFilter_h
#define otbLeeImageFilter_h
#include "itkImageToImageFilter.h"
#include "itkImage.h"
#include "itkNumericTraits.h"
namespace otb
{
/** \class LeeImageFilter
* \brief Anti-speckle image filter
*
* This class implements Lee's filter for despeckleing of SAR
* images. The estimated reflectivity R is computed as follows:
*
* R=I*W+E[I]*(1-W), where
* W=1-Cu*Cu/(Ci*Ci)
* Cu = 1/sqrt(nb of look)
* Ci = sqrt(VAR[I])/E[I]
*
* (http://www.isprs.org/proceedings/XXXV/congress/comm2/papers/110.pdf)
*
*
*
* \ingroup OTBImageNoise
*/
template <class TInputImage, class TOutputImage>
class ITK_EXPORT LeeImageFilter : public itk::ImageToImageFilter<TInputImage, TOutputImage>
{
public:
/** Extract input and output image dimension */
itkStaticConstMacro(InputImageDimension, unsigned int, TInputImage::ImageDimension);
itkStaticConstMacro(OutputImageDimension, unsigned int, TOutputImage::ImageDimension);
typedef TInputImage InputImageType;
typedef TOutputImage OutputImageType;
/** standard class typedefs */
typedef LeeImageFilter Self;
typedef itk::ImageToImageFilter<InputImageType, OutputImageType> Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
/** Object factory management */
itkNewMacro(Self);
/** typemacro */
itkTypeMacro(LeeImageFilter, ImageToImageFilter);
typedef typename InputImageType::PixelType InputPixelType;
typedef typename OutputImageType::PixelType OutputPixelType;
typedef typename itk::NumericTraits<InputPixelType>::RealType InputRealType;
typedef typename InputImageType::RegionType InputImageRegionType;
typedef typename OutputImageType::RegionType OutputImageRegionType;
typedef typename InputImageType::SizeType SizeType;
/** Set the radius of the neighborhood used in this filter */
itkSetMacro(Radius, SizeType);
/** Get the radius of the neighborhood used in this filter */
itkGetConstReferenceMacro(Radius, SizeType);
/** Set the number of look used for computation */
itkSetMacro(NbLooks, double);
/** Getthe number of look used for computation */
itkGetConstReferenceMacro(NbLooks, double);
/** LeeImageFilter needs a larger input requested region than
* the output requested region. As such, LeeImageFilter needs
* to provide an implementation for GenerateInputRequestedRegion()
* in order to inform the pipeline execution model.
*
* \sa ImageToImageFilter::GenerateInputRequestedRegion() */
void GenerateInputRequestedRegion() override;
protected:
LeeImageFilter();
~LeeImageFilter() override
{
}
void PrintSelf(std::ostream& os, itk::Indent indent) const override;
/** LeeImageFilter can be multithreaded.
* As such, it provides a definition of ThreadedGenerateData()
*
* LEE filter:
*\f$ R = E[I] + b(I-E[I])\f$ with \f$ b = C^2r / ( C^2r + C^2v )\f$
* \f$ Cv = 1 / \sqrt(L) \f$ with L the number of look.
* \f$ Cr = \sqrt(Var(I)) / E[I] where Var(I) = E[I^2] - E[I]^2 \f$
*
* \sa ImageToImageFilter::ThreadedGenerateData(),
* ImageToImageFilter::GenerateData() */
void ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread, itk::ThreadIdType threadId) override;
private:
LeeImageFilter(const Self&) = delete;
void operator=(const Self&) = delete;
/** Radius of the filter */
SizeType m_Radius;
/** Number of look of the filter */
double m_NbLooks;
};
} // end namespace otb
#ifndef OTB_MANUAL_INSTANTIATION
#include "otbLeeImageFilter.hxx"
#endif
#endif
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