1 /*
2 * cv_image_process_helper.cpp - OpenCV image processing helpers functions
3 *
4 * Copyright (c) 2016-2017 Intel Corporation
5 *
6 * Licensed under the Apache License, Version 2.0 (the "License");
7 * you may not use this file except in compliance with the License.
8 * You may obtain a copy of the License at
9 *
10 * http://www.apache.org/licenses/LICENSE-2.0
11 *
12 * Unless required by applicable law or agreed to in writing, software
13 * distributed under the License is distributed on an "AS IS" BASIS,
14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
15 * See the License for the specific language governing permissions and
16 * limitations under the License.
17 *
18 * Author: Andrey Parfenov <a1994ndrey@gmail.com>
19 * Author: Wind Yuan <feng.yuan@intel.com>
20 */
21
22 #include "cv_image_process_helper.h"
23
24 namespace XCam {
25
26
CVImageProcessHelper()27 CVImageProcessHelper::CVImageProcessHelper ()
28 : CVBaseClass ()
29 {
30
31 }
32
33 cv::Mat
erosion(const cv::Mat & image,int erosion_size,int erosion_type)34 CVImageProcessHelper::erosion (const cv::Mat &image, int erosion_size, int erosion_type)
35 {
36 cv::Mat element = cv::getStructuringElement (erosion_type,
37 cv::Size (2 * erosion_size + 1, 2 * erosion_size + 1),
38 cv::Point (erosion_size, erosion_size));
39 cv::Mat eroded;
40 cv::erode (image, eroded, element);
41 return eroded.clone ();
42 }
43
44 float
get_snr(const cv::Mat & noisy,const cv::Mat & noiseless)45 CVImageProcessHelper::get_snr (const cv::Mat &noisy, const cv::Mat &noiseless)
46 {
47 cv::Mat temp_noisy, temp_noiseless;
48 noisy.convertTo (temp_noisy, CV_32FC1);
49 noiseless.convertTo (temp_noiseless, CV_32FC1);
50 cv::Mat numerator, denominator;
51 cv::pow (temp_noisy, 2, numerator);
52 cv::pow (temp_noisy - temp_noiseless, 2, denominator);
53 float res = cv::sum (numerator)[0] / cv::sum (denominator)[0];
54 res = sqrt (res);
55 return res;
56 }
57
58 void
compute_dft(const cv::Mat & image,cv::Mat & result)59 CVImageProcessHelper::compute_dft (const cv::Mat &image, cv::Mat &result)
60 {
61 cv::Mat padded;
62 int m = cv::getOptimalDFTSize (image.rows);
63 int n = cv::getOptimalDFTSize (image.cols);
64 cv::copyMakeBorder (image, padded, 0, m - image.rows, 0, n - image.cols, cv::BORDER_CONSTANT, cv::Scalar::all(0));
65 cv::Mat planes[] = {cv::Mat_<float> (padded), cv::Mat::zeros (padded.size (), CV_32FC1)};
66 cv::merge (planes, 2, result);
67 cv::dft (result, result);
68 }
69
70 void
compute_idft(cv::Mat * input,cv::Mat & result)71 CVImageProcessHelper::compute_idft (cv::Mat *input, cv::Mat &result)
72 {
73 cv::Mat fimg;
74 cv::merge (input, 2, fimg);
75 cv::idft (fimg, result, cv::DFT_REAL_OUTPUT + cv::DFT_SCALE);
76 }
77
78 void
apply_constraints(cv::Mat & image,float threshold_min_value,float threshold_max_value,float min_value,float max_value)79 CVImageProcessHelper::apply_constraints (cv::Mat &image, float threshold_min_value, float threshold_max_value, float min_value, float max_value)
80 {
81 for (int i = 0; i < image.rows; i++) {
82 for (int j = 0; j < image.cols; j++) {
83 if (image.at<float>(i, j) < threshold_min_value)
84 {
85 image.at<float>(i, j) = min_value;
86 }
87 if (image.at<float>(i, j) > threshold_max_value)
88 {
89 image.at<float>(i, j) = max_value;
90 }
91 }
92 }
93 }
94
95 void
normalize_weights(cv::Mat & weights)96 CVImageProcessHelper::normalize_weights (cv::Mat &weights)
97 {
98 weights.convertTo (weights, CV_32FC1);
99 float sum = cv::sum (weights)[0];
100 weights /= sum;
101 }
102
103 }
104