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/*
* cv_image_process_helper.h - OpenCV image processing helpers functions
*
* Copyright (c) 2016-2017 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>
*/
#ifndef XCAM_CV_IMAGE_PROCESS_HELPER_H
#define XCAM_CV_IMAGE_PROCESS_HELPER_H
#include <xcam_std.h>
#include <video_buffer.h>
#include <ocl/cv_base_class.h>
namespace XCam {
class CVImageProcessHelper : public CVBaseClass
{
public:
explicit CVImageProcessHelper ();
void compute_dft (const cv::Mat &image, cv::Mat &result);
void compute_idft (cv::Mat *input, cv::Mat &result);
void apply_constraints (cv::Mat &image, float threshold_min_value, float threshold_max_value = 255.0f, float min_value = 0.0f, float max_value = 255.0f);
float get_snr (const cv::Mat &noisy, const cv::Mat &noiseless);
cv::Mat erosion (const cv::Mat &image, int erosion_size, int erosion_type);
// weights will be symmetric and sum(weights elements) == 1
void normalize_weights (cv::Mat &weights);
cv::Mat get_auto_correlation (const cv::Mat &image);
XCAM_DEAD_COPY (CVImageProcessHelper);
};
}
#endif // XCAM_CV_IMAGE_PROCESS_HELPER_H
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