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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective icvers.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of Intel Corporation may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#ifndef __OPENCV_BM3D_DENOISING_KAISER_WINDOW_HPP__
#define __OPENCV_BM3D_DENOISING_KAISER_WINDOW_HPP__
#include "opencv2/core.hpp"
#include <cmath>
namespace cv
{
namespace xphoto
{
static int factorial(int n)
{
if (n == 0)
return 1;
int val = 1;
for (int idx = 1; idx <= n; ++idx)
val *= idx;
return val;
}
template <int MAX_ITER>
static float bessel0(const float &x)
{
float sum = 0.0f;
for (int m = 0; m < MAX_ITER; ++m)
{
float factM = (float)factorial(m);
float inc = std::pow(1.0f / factM * std::pow(x * 0.5f, (float)m), 2.0f);
sum += inc;
if ((inc / sum) < 0.001F)
break;
}
return sum;
}
#define MAX_ITER_BESSEL 100
static void calcKaiserWindow1D(cv::Mat &dst, const int N, const float beta)
{
if (dst.empty())
dst.create(cv::Size(1, N), CV_32FC1);
CV_Assert(dst.total() == (size_t)N);
CV_Assert(dst.type() == CV_32FC1);
CV_Assert(N > 0);
float *p = dst.ptr<float>(0);
for (int i = 0; i < N; ++i)
{
float b = beta * std::sqrt(1.0f - std::pow(2.0f * i / (N - 1.0f) - 1.0f, 2.0f));
p[i] = bessel0<MAX_ITER_BESSEL>(b) / bessel0<MAX_ITER_BESSEL>(beta);
}
}
static void calcKaiserWindow2D(float *&kaiser, const int N, const float beta)
{
if (kaiser == NULL)
kaiser = new float[N * N];
if (beta == 0.0f)
{
for (int i = 0; i < N * N; ++i)
kaiser[i] = 1.0f;
return;
}
cv::Mat kaiser1D;
calcKaiserWindow1D(kaiser1D, N, beta);
cv::Mat kaiser1Dt;
cv::transpose(kaiser1D, kaiser1Dt);
cv::Mat kaiser2D = kaiser1D * kaiser1Dt;
float *p = kaiser2D.ptr<float>(0);
for (unsigned i = 0; i < kaiser2D.total(); ++i)
kaiser[i] = p[i];
}
} // namespace xphoto
} // namespace cv
#endif