/*
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* cv_image_process_helper.cpp - OpenCV image processing helpers functions
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*
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* Copyright (c) 2016-2017 Intel Corporation
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*
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* Author: Andrey Parfenov <a1994ndrey@gmail.com>
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* Author: Wind Yuan <feng.yuan@intel.com>
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*/
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#include "cv_image_process_helper.h"
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namespace XCam {
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CVImageProcessHelper::CVImageProcessHelper ()
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: CVBaseClass ()
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{
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}
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cv::Mat
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CVImageProcessHelper::erosion (const cv::Mat &image, int erosion_size, int erosion_type)
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{
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cv::Mat element = cv::getStructuringElement (erosion_type,
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cv::Size (2 * erosion_size + 1, 2 * erosion_size + 1),
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cv::Point (erosion_size, erosion_size));
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cv::Mat eroded;
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cv::erode (image, eroded, element);
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return eroded.clone ();
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}
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float
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CVImageProcessHelper::get_snr (const cv::Mat &noisy, const cv::Mat &noiseless)
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{
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cv::Mat temp_noisy, temp_noiseless;
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noisy.convertTo (temp_noisy, CV_32FC1);
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noiseless.convertTo (temp_noiseless, CV_32FC1);
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cv::Mat numerator, denominator;
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cv::pow (temp_noisy, 2, numerator);
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cv::pow (temp_noisy - temp_noiseless, 2, denominator);
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float res = cv::sum (numerator)[0] / cv::sum (denominator)[0];
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res = sqrt (res);
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return res;
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}
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void
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CVImageProcessHelper::compute_dft (const cv::Mat &image, cv::Mat &result)
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{
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cv::Mat padded;
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int m = cv::getOptimalDFTSize (image.rows);
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int n = cv::getOptimalDFTSize (image.cols);
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cv::copyMakeBorder (image, padded, 0, m - image.rows, 0, n - image.cols, cv::BORDER_CONSTANT, cv::Scalar::all(0));
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cv::Mat planes[] = {cv::Mat_<float> (padded), cv::Mat::zeros (padded.size (), CV_32FC1)};
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cv::merge (planes, 2, result);
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cv::dft (result, result);
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}
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void
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CVImageProcessHelper::compute_idft (cv::Mat *input, cv::Mat &result)
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{
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cv::Mat fimg;
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cv::merge (input, 2, fimg);
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cv::idft (fimg, result, cv::DFT_REAL_OUTPUT + cv::DFT_SCALE);
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}
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void
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CVImageProcessHelper::apply_constraints (cv::Mat &image, float threshold_min_value, float threshold_max_value, float min_value, float max_value)
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{
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for (int i = 0; i < image.rows; i++) {
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for (int j = 0; j < image.cols; j++) {
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if (image.at<float>(i, j) < threshold_min_value)
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{
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image.at<float>(i, j) = min_value;
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}
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if (image.at<float>(i, j) > threshold_max_value)
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{
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image.at<float>(i, j) = max_value;
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}
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}
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}
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}
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void
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CVImageProcessHelper::normalize_weights (cv::Mat &weights)
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{
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weights.convertTo (weights, CV_32FC1);
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float sum = cv::sum (weights)[0];
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weights /= sum;
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}
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}
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