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/*
* test-image-deblurring.cpp - test image deblurring
*
* Copyright (c) 2017 Intel Corporation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* Author: Andrey Parfenov <a1994ndrey@gmail.com>
* Author: Wind Yuan <feng.yuan@intel.com>
*/
#include "test_common.h"
#include "test_inline.h"
#include <unistd.h>
#include <getopt.h>
#include <image_file_handle.h>
#include <ocl/cv_image_sharp.h>
#include <ocl/cv_wiener_filter.h>
#include <ocl/cv_image_deblurring.h>
#include <opencv2/opencv.hpp>
#include <opencv2/core/ocl.hpp>
using namespace XCam;
static void
usage (const char* arg0)
{
printf ("Usage: %s --input file --output file\n"
"\t--input, input image(RGB)\n"
"\t--output, output image(RGB) PREFIX\n"
"\t--blind, optional, blind or non-blind deblurring, default true; select from [true/false]\n"
"\t--save, optional, save file or not, default true; select from [true/false]\n"
"\t--help, usage\n",
arg0);
}
static void
blind_deblurring (cv::Mat &input_image, cv::Mat &output_image)
{
SmartPtr<CVImageDeblurring> image_deblurring = new CVImageDeblurring ();
cv::Mat kernel;
image_deblurring->blind_deblurring (input_image, output_image, kernel, -1, -1, false);
}
static void
non_blind_deblurring (cv::Mat &input_image, cv::Mat &output_image)
{
SmartPtr<CVWienerFilter> wiener_filter = new CVWienerFilter ();
cv::cvtColor (input_image, input_image, CV_BGR2GRAY);
// use simple motion blur kernel
int kernel_size = 13;
cv::Mat kernel = cv::Mat::zeros (kernel_size, kernel_size, CV_32FC1);
for (int i = 0; i < kernel_size; i++)
{
kernel.at<float> ((kernel_size - 1) / 2, i) = 1.0;
}
kernel /= kernel_size;
//flip kernel to perform convolution
cv::Mat conv_kernel;
cv::flip (kernel, conv_kernel, -1);
cv::Mat blurred;
cv::filter2D (input_image, blurred, CV_32FC1, conv_kernel, cv::Point(-1, -1), 0, cv::BORDER_CONSTANT);
// restore the image
cv::Mat median_blurred;
medianBlur (blurred, median_blurred, 3);
SmartPtr<CVImageProcessHelper> helpers = new CVImageProcessHelper ();
float noise_power = 1.0f / helpers->get_snr (blurred, median_blurred);
wiener_filter->wiener_filter (blurred, kernel, output_image, noise_power);
}
int main (int argc, char *argv[])
{
const char *file_in_name = NULL;
const char *file_out_name = NULL;
bool need_save_output = true;
bool blind = true;
const struct option long_opts[] = {
{"input", required_argument, NULL, 'i'},
{"output", required_argument, NULL, 'o'},
{"blind", required_argument, NULL, 'b'},
{"save", required_argument, NULL, 's'},
{"help", no_argument, NULL, 'H'},
{0, 0, 0, 0},
};
int opt = -1;
while ((opt = getopt_long (argc, argv, "", long_opts, NULL)) != -1)
{
switch (opt) {
case 'i':
file_in_name = optarg;
break;
case 'o':
file_out_name = optarg;
break;
case 'b':
blind = (strcasecmp (optarg, "false") == 0 ? false : true);
break;
case 's':
need_save_output = (strcasecmp (optarg, "false") == 0 ? false : true);
break;
case 'H':
usage (argv[0]);
return -1;
default:
printf ("getopt_long return unknown value:%c\n", opt);
usage (argv[0]);
return -1;
}
}
if (optind < argc || argc < 2)
{
printf ("unknown option %s\n", argv[optind]);
usage (argv[0]);
return -1;
}
if (!file_in_name || !file_out_name)
{
XCAM_LOG_ERROR ("input/output path is NULL");
return -1;
}
printf ("Description-----------\n");
printf ("input image file:%s\n", file_in_name);
printf ("output file :%s\n", file_out_name);
printf ("blind deblurring:%s\n", blind ? "true" : "false");
printf ("need save file:%s\n", need_save_output ? "true" : "false");
printf ("----------------------\n");
SmartPtr<CVImageSharp> sharp = new CVImageSharp ();
cv::Mat input_image = cv::imread (file_in_name, CV_LOAD_IMAGE_COLOR);
cv::Mat output_image;
if (input_image.empty ())
{
XCAM_LOG_ERROR ("input file read error");
return 0;
}
if (blind)
{
blind_deblurring (input_image, output_image);
}
else
{
non_blind_deblurring (input_image, output_image);
}
float input_sharp = sharp->measure_sharp (input_image);
float output_sharp = sharp->measure_sharp (output_image);
if (need_save_output)
{
cv::imwrite (file_out_name, output_image);
}
XCAM_ASSERT (output_sharp > input_sharp);
}
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