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1 /*M///////////////////////////////////////////////////////////////////////////////////////
2 //
3 //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
4 //
5 //  By downloading, copying, installing or using the software you agree to this license.
6 //  If you do not agree to this license, do not download, install,
7 //  copy or use the software.
8 //
9 //
10 //                           License Agreement
11 //                For Open Source Computer Vision Library
12 //
13 // Copyright (C) 2013, OpenCV Foundation, all rights reserved.
14 // Third party copyrights are property of their respective owners.
15 //
16 // Redistribution and use in source and binary forms, with or without modification,
17 // are permitted provided that the following conditions are met:
18 //
19 //   * Redistribution's of source code must retain the above copyright notice,
20 //     this list of conditions and the following disclaimer.
21 //
22 //   * Redistribution's in binary form must reproduce the above copyright notice,
23 //     this list of conditions and the following disclaimer in the documentation
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26 //   * The name of the copyright holders may not be used to endorse or promote products
27 //     derived from this software without specific prior written permission.
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29 // This software is provided by the copyright holders and contributors "as is" and
30 // any express or implied warranties, including, but not limited to, the implied
31 // warranties of merchantability and fitness for a particular purpose are disclaimed.
32 // In no event shall the Intel Corporation or contributors be liable for any direct,
33 // indirect, incidental, special, exemplary, or consequential damages
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35 // loss of use, data, or profits; or business interruption) however caused
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40 //M*/
41 
42 #include "precomp.hpp"
43 #include "opencv2/photo.hpp"
44 #include "hdr_common.hpp"
45 
46 namespace cv
47 {
48 
checkImageDimensions(const std::vector<Mat> & images)49 void checkImageDimensions(const std::vector<Mat>& images)
50 {
51     CV_Assert(!images.empty());
52     int width = images[0].cols;
53     int height = images[0].rows;
54     int type = images[0].type();
55 
56     for(size_t i = 0; i < images.size(); i++) {
57         CV_Assert(images[i].cols == width && images[i].rows == height);
58         CV_Assert(images[i].type() == type);
59     }
60 }
61 
tringleWeights()62 Mat tringleWeights()
63 {
64     Mat w(LDR_SIZE, 1, CV_32F);
65     int half = LDR_SIZE / 2;
66     for(int i = 0; i < LDR_SIZE; i++) {
67         w.at<float>(i) = i < half ? i + 1.0f : LDR_SIZE - i;
68     }
69     return w;
70 }
71 
RobertsonWeights()72 Mat RobertsonWeights()
73 {
74     Mat weight(LDR_SIZE, 1, CV_32FC3);
75     float q = (LDR_SIZE - 1) / 4.0f;
76     for(int i = 0; i < LDR_SIZE; i++) {
77         float value = i / q - 2.0f;
78         value = exp(-value * value);
79         weight.at<Vec3f>(i) = Vec3f::all(value);
80     }
81     return weight;
82 }
83 
mapLuminance(Mat src,Mat dst,Mat lum,Mat new_lum,float saturation)84 void mapLuminance(Mat src, Mat dst, Mat lum, Mat new_lum, float saturation)
85 {
86     std::vector<Mat> channels(3);
87     split(src, channels);
88     for(int i = 0; i < 3; i++) {
89         channels[i] = channels[i].mul(1.0f / lum);
90         pow(channels[i], saturation, channels[i]);
91         channels[i] = channels[i].mul(new_lum);
92     }
93     merge(channels, dst);
94 }
95 
linearResponse(int channels)96 Mat linearResponse(int channels)
97 {
98     Mat response = Mat(LDR_SIZE, 1, CV_MAKETYPE(CV_32F, channels));
99     for(int i = 0; i < LDR_SIZE; i++) {
100         response.at<Vec3f>(i) = Vec3f::all(static_cast<float>(i));
101     }
102     return response;
103 }
104 
105 }
106