1/*
2 * cv_image_deblurring.cpp - iterative blind deblurring
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_wiener_filter.h"
23
24namespace XCam {
25
26
27CVWienerFilter::CVWienerFilter ()
28    : CVBaseClass ()
29{
30    _helpers = new CVImageProcessHelper ();
31}
32
33void
34CVWienerFilter::wiener_filter (const cv::Mat &blurred_image, const cv::Mat &known, cv::Mat &unknown, float noise_power)
35{
36    int image_w = blurred_image.size ().width;
37    int image_h = blurred_image.size ().height;
38    cv::Mat y_ft;
39    _helpers->compute_dft (blurred_image, y_ft);
40
41    cv::Mat padded = cv::Mat::zeros (image_h, image_w, CV_32FC1);
42    int padx = padded.cols - known.cols;
43    int pady = padded.rows - known.rows;
44    cv::copyMakeBorder (known, padded, 0, pady, 0, padx, cv::BORDER_CONSTANT, cv::Scalar::all(0));
45    cv::Mat padded_ft;
46    _helpers->compute_dft (padded, padded_ft);
47
48    cv::Mat temp_unknown;
49    cv::Mat unknown_ft[2];
50    unknown_ft[0] = cv::Mat::zeros (image_h, image_w, CV_32FC1);
51    unknown_ft[1] = cv::Mat::zeros (image_h, image_w, CV_32FC1);
52
53    cv::Mat denominator;
54    cv::Mat denominator_splitted[] = {cv::Mat::zeros (blurred_image.size (), CV_32FC1), cv::Mat::zeros (blurred_image.size (), CV_32FC1)};
55    cv::mulSpectrums (padded_ft, padded_ft, denominator, 0, true);
56    cv::split (denominator, denominator_splitted);
57    denominator_splitted[0] = denominator_splitted[0] (cv::Rect (0, 0, blurred_image.cols, blurred_image.rows));
58    denominator_splitted[0] += cv::Scalar (noise_power);
59
60    cv::Mat numerator;
61    cv::Mat numerator_splitted[] = {cv::Mat::zeros (blurred_image.size (), CV_32FC1), cv::Mat::zeros (blurred_image.size (), CV_32FC1)};
62    cv::mulSpectrums (y_ft, padded_ft, numerator, 0, true);
63    cv::split (numerator, numerator_splitted);
64    numerator_splitted[0] = numerator_splitted[0] (cv::Rect (0, 0, blurred_image.cols, blurred_image.rows));
65    numerator_splitted[1] = numerator_splitted[1] (cv::Rect (0, 0, blurred_image.cols, blurred_image.rows));
66    cv::divide (numerator_splitted[0], denominator_splitted[0], unknown_ft[0]);
67    cv::divide (numerator_splitted[1], denominator_splitted[0], unknown_ft[1]);
68    _helpers->compute_idft (unknown_ft, temp_unknown);
69    unknown = temp_unknown.clone();
70}
71
72}
73