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/*M///////////////////////////////////////////////////////////////////////////////////////
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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// For Open Source Computer Vision Library
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// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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#include "precomp.hpp"
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#include "opencv2/photo.hpp"
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#include "hdr_common.hpp"
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void checkImageDimensions(const std::vector<Mat>& images)
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CV_Assert(!images.empty());
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int width = images[0].cols;
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int height = images[0].rows;
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int type = images[0].type();
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for(size_t i = 0; i < images.size(); i++) {
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CV_Assert(images[i].cols == width && images[i].rows == height);
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CV_Assert(images[i].type() == type);
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Mat w(LDR_SIZE, 1, CV_32F);
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int half = LDR_SIZE / 2;
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for(int i = 0; i < LDR_SIZE; i++) {
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w.at<float>(i) = i < half ? i + 1.0f : LDR_SIZE - i;
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Mat RobertsonWeights()
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Mat weight(LDR_SIZE, 1, CV_32FC3);
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float q = (LDR_SIZE - 1) / 4.0f;
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for(int i = 0; i < LDR_SIZE; i++) {
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float value = i / q - 2.0f;
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value = exp(-value * value);
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weight.at<Vec3f>(i) = Vec3f::all(value);
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void mapLuminance(Mat src, Mat dst, Mat lum, Mat new_lum, float saturation)
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std::vector<Mat> channels(3);
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for(int i = 0; i < 3; i++) {
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channels[i] = channels[i].mul(1.0f / lum);
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pow(channels[i], saturation, channels[i]);
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channels[i] = channels[i].mul(new_lum);
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Mat linearResponse(int channels)
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Mat response = Mat(LDR_SIZE, 1, CV_MAKETYPE(CV_32F, channels));
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for(int i = 0; i < LDR_SIZE; i++) {
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response.at<Vec3f>(i) = Vec3f::all(static_cast<float>(i));