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/*
* Copyright (C) 2005-2020 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 otbFastNLMeansImageFilter_h
#define otbFastNLMeansImageFilter_h
#include "itkImageToImageFilter.h"
namespace otb
{
/** \class NLMeansFilter
* \brief This class implements a fast approximated version of NL Means denoising
* algorithm. This implementation is based on code in scikit module skimage.
* This fast version of the NL Means algorithm
* has been described in the following papers :
*
* J. Darbon, A. Cunha, T.F. Chan, S. Osher, and G.J. Jensen,
* Fast nonlocal filtering applied to electron cryomicroscopy,
* in 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro,
* 2008, pp. 1331-1334.
*
* Jacques Froment.
* Parameter-Free Fast Pixelwise Non-Local Means Denoising.
* Image Processing On Line, 2014, vol. 4, p. 300-326.
*
* \ingroup OTBSmoothing
*/
template <class TInputImage, class TOutputImage>
class ITK_EXPORT NLMeansFilter : public itk::ImageToImageFilter<TInputImage, TOutputImage>
{
public:
/** Standard class typedefs */
typedef NLMeansFilter Self;
typedef itk::ImageToImageFilter<TInputImage, TOutputImage> Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
/** Typedef to image types */
typedef TInputImage InImageType;
typedef TOutputImage OutImageType;
/** Typedef to describe the image pointer types. */
typedef typename InImageType::Pointer InImagePointerType;
typedef typename InImageType::ConstPointer InImageConstPointerType;
typedef typename InImageType::RegionType InRegionType;
typedef typename InImageType::IndexType InIndexType;
typedef typename InImageType::SizeType InSizeType;
typedef typename InImageType::OffsetType InOffsetType;
typedef typename OutImageType::Pointer OutImagePointerType;
typedef typename OutImageType::RegionType OutRegionType;
typedef typename OutImageType::PixelType OutPixelType;
typedef typename OutImageType::SizeType OutSizeType;
typedef typename OutImageType::IndexType OutIndexType;
/** Method for creation through the object factory. */
itkNewMacro(Self);
itkTypeMacro(NLMeansFilter, ImageToImageFilter);
void SetSigma(const float sigma)
{
m_Var = 2.0 * sigma * sigma;
}
void SetHalfWindowSize(const unsigned int hws)
{
m_HalfPatchSize.Fill(hws);
// Update NormalizeDistance
m_NormalizeDistance = (2 * hws + 1) * (2 * hws + 1) * m_CutoffDistance * m_CutoffDistance;
}
void SetHalfSearchSize(const unsigned int hss)
{
m_HalfSearchSize.Fill(hss);
}
void SetCutOffDistance(const float thresh)
{
m_CutoffDistance = thresh;
// Update NormalizeDistance
m_NormalizeDistance = (2 * m_HalfPatchSize[0] + 1) * (2 * m_HalfPatchSize[1] + 1) * m_CutoffDistance * m_CutoffDistance;
}
protected:
/** Constructor */
NLMeansFilter();
/** Destructor */
~NLMeansFilter() override = default;
void ThreadedGenerateData(const OutRegionType& outputRegionForThread, itk::ThreadIdType itkNotUsed(threadId)) override;
void GenerateInputRequestedRegion() override;
/** Compute the requested input region, given an output region.
* If the input requested region is outside the largest input region, a mirror padding
* is necessary. The returned tuple is composed of the following parameters :
* * input requested region (always lie inside the largest input region)
* * top rows, left cols, bottom rows, right cols : numbers of rows/cols to add with a mirror padding
* * boolean : if true, a mirror padding (in at least one direction) has to be computed
*/
std::tuple<InRegionType, int, int, int, int, bool> OutputRegionToInputRegion(const OutRegionType& outputRegion) const;
/** PrintSelf method */
void PrintSelf(std::ostream& os, itk::Indent indent) const override;
private:
NLMeansFilter(const Self&) = delete; // purposely not implemented
NLMeansFilter& operator=(const Self&) = delete; // purposely not implemented
/** For a given shift in rows and cols, this function computes
* the squared difference between the image and its shifted version.
* Results are added to form an integral image.
*/
void ComputeIntegralImage(const std::vector<double>& dataInput, /**< input data stored in a vector */
std::vector<double>& imIntegral, /**< output parameter. Contains the integral image of squared difference */
const OutIndexType shift, /**< Shift (dcol, drow) to apply to compute the difference */
const InSizeType sizeIntegral, /**< Integral image size */
const InSizeType sizeInput /**< input data image size */
) const;
/** This function computes the squared euclidean distance
* between a patch and its shifted version.
* Computation relies on the integral image obtained before.
*/
OutPixelType ComputeDistance(const unsigned int row, /**< Upper left corner row coordinate of patch*/
const unsigned int col, /**< Upper left corner col coordinate of patch*/
const std::vector<double>& imIntegral, /**< Integral image of squared difference*/
const unsigned int nbCols /**< Integral image number of columns */
) const;
// Define class attributes
InSizeType m_HalfSearchSize{0,0};
InSizeType m_HalfPatchSize{0,0};
float m_Var;
float m_CutoffDistance;
float m_NormalizeDistance; // cutoff**2 * windowSize**2
static const int m_ROW = 1;
static const int m_COL = 0;
};
} // end namespace otb
#ifndef OTB_MANUAL_INSTANTIATION
#include "otbFastNLMeansImageFilter.hxx"
#endif
#endif
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