/*
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* test-image-deblurring.cpp - test image deblurring
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*
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* Copyright (c) 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 "test_common.h"
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#include "test_inline.h"
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#include <unistd.h>
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#include <getopt.h>
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#include <image_file_handle.h>
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#include <ocl/cv_image_sharp.h>
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#include <ocl/cv_wiener_filter.h>
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#include <ocl/cv_image_deblurring.h>
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#include <opencv2/opencv.hpp>
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#include <opencv2/core/ocl.hpp>
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using namespace XCam;
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static void
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usage (const char* arg0)
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{
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printf ("Usage: %s --input file --output file\n"
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"\t--input, input image(RGB)\n"
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"\t--output, output image(RGB) PREFIX\n"
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"\t--blind, optional, blind or non-blind deblurring, default true; select from [true/false]\n"
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"\t--save, optional, save file or not, default true; select from [true/false]\n"
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"\t--help, usage\n",
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arg0);
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}
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static void
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blind_deblurring (cv::Mat &input_image, cv::Mat &output_image)
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{
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SmartPtr<CVImageDeblurring> image_deblurring = new CVImageDeblurring ();
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cv::Mat kernel;
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image_deblurring->blind_deblurring (input_image, output_image, kernel, -1, -1, false);
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}
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static void
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non_blind_deblurring (cv::Mat &input_image, cv::Mat &output_image)
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{
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SmartPtr<CVWienerFilter> wiener_filter = new CVWienerFilter ();
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cv::cvtColor (input_image, input_image, CV_BGR2GRAY);
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// use simple motion blur kernel
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int kernel_size = 13;
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cv::Mat kernel = cv::Mat::zeros (kernel_size, kernel_size, CV_32FC1);
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for (int i = 0; i < kernel_size; i++)
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{
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kernel.at<float> ((kernel_size - 1) / 2, i) = 1.0;
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}
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kernel /= kernel_size;
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//flip kernel to perform convolution
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cv::Mat conv_kernel;
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cv::flip (kernel, conv_kernel, -1);
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cv::Mat blurred;
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cv::filter2D (input_image, blurred, CV_32FC1, conv_kernel, cv::Point(-1, -1), 0, cv::BORDER_CONSTANT);
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// restore the image
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cv::Mat median_blurred;
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medianBlur (blurred, median_blurred, 3);
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SmartPtr<CVImageProcessHelper> helpers = new CVImageProcessHelper ();
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float noise_power = 1.0f / helpers->get_snr (blurred, median_blurred);
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wiener_filter->wiener_filter (blurred, kernel, output_image, noise_power);
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}
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int main (int argc, char *argv[])
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{
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const char *file_in_name = NULL;
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const char *file_out_name = NULL;
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bool need_save_output = true;
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bool blind = true;
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const struct option long_opts[] = {
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{"input", required_argument, NULL, 'i'},
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{"output", required_argument, NULL, 'o'},
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{"blind", required_argument, NULL, 'b'},
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{"save", required_argument, NULL, 's'},
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{"help", no_argument, NULL, 'H'},
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{0, 0, 0, 0},
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};
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int opt = -1;
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while ((opt = getopt_long (argc, argv, "", long_opts, NULL)) != -1)
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{
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switch (opt) {
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case 'i':
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file_in_name = optarg;
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break;
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case 'o':
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file_out_name = optarg;
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break;
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case 'b':
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blind = (strcasecmp (optarg, "false") == 0 ? false : true);
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break;
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case 's':
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need_save_output = (strcasecmp (optarg, "false") == 0 ? false : true);
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break;
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case 'H':
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usage (argv[0]);
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return -1;
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default:
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printf ("getopt_long return unknown value:%c\n", opt);
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usage (argv[0]);
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return -1;
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}
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}
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if (optind < argc || argc < 2)
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{
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printf ("unknown option %s\n", argv[optind]);
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usage (argv[0]);
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return -1;
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}
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if (!file_in_name || !file_out_name)
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{
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XCAM_LOG_ERROR ("input/output path is NULL");
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return -1;
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}
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printf ("Description-----------\n");
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printf ("input image file:%s\n", file_in_name);
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printf ("output file :%s\n", file_out_name);
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printf ("blind deblurring:%s\n", blind ? "true" : "false");
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printf ("need save file:%s\n", need_save_output ? "true" : "false");
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printf ("----------------------\n");
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SmartPtr<CVImageSharp> sharp = new CVImageSharp ();
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cv::Mat input_image = cv::imread (file_in_name, CV_LOAD_IMAGE_COLOR);
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cv::Mat output_image;
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if (input_image.empty ())
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{
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XCAM_LOG_ERROR ("input file read error");
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return 0;
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}
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if (blind)
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{
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blind_deblurring (input_image, output_image);
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}
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else
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{
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non_blind_deblurring (input_image, output_image);
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}
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float input_sharp = sharp->measure_sharp (input_image);
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float output_sharp = sharp->measure_sharp (output_image);
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if (need_save_output)
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{
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cv::imwrite (file_out_name, output_image);
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}
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XCAM_ASSERT (output_sharp > input_sharp);
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}
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