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133 lines
5.0 KiB
133 lines
5.0 KiB
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#ifndef __OPENCV_STITCHING_EXPOSURE_COMPENSATE_HPP__
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#define __OPENCV_STITCHING_EXPOSURE_COMPENSATE_HPP__
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#include "opencv2/core.hpp"
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namespace cv {
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namespace detail {
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//! @addtogroup stitching_exposure
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//! @{
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/** @brief Base class for all exposure compensators.
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*/
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class CV_EXPORTS ExposureCompensator
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{
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public:
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virtual ~ExposureCompensator() {}
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enum { NO, GAIN, GAIN_BLOCKS };
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static Ptr<ExposureCompensator> createDefault(int type);
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/**
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@param corners Source image top-left corners
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@param images Source images
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@param masks Image masks to update (second value in pair specifies the value which should be used
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to detect where image is)
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*/
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void feed(const std::vector<Point> &corners, const std::vector<UMat> &images,
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const std::vector<UMat> &masks);
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/** @overload */
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virtual void feed(const std::vector<Point> &corners, const std::vector<UMat> &images,
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const std::vector<std::pair<UMat,uchar> > &masks) = 0;
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/** @brief Compensate exposure in the specified image.
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@param index Image index
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@param corner Image top-left corner
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@param image Image to process
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@param mask Image mask
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*/
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virtual void apply(int index, Point corner, InputOutputArray image, InputArray mask) = 0;
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};
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/** @brief Stub exposure compensator which does nothing.
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*/
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class CV_EXPORTS NoExposureCompensator : public ExposureCompensator
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{
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public:
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void feed(const std::vector<Point> &/*corners*/, const std::vector<UMat> &/*images*/,
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const std::vector<std::pair<UMat,uchar> > &/*masks*/) { }
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void apply(int /*index*/, Point /*corner*/, InputOutputArray /*image*/, InputArray /*mask*/) { }
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};
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/** @brief Exposure compensator which tries to remove exposure related artifacts by adjusting image
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intensities, see @cite BL07 and @cite WJ10 for details.
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*/
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class CV_EXPORTS GainCompensator : public ExposureCompensator
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{
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public:
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void feed(const std::vector<Point> &corners, const std::vector<UMat> &images,
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const std::vector<std::pair<UMat,uchar> > &masks);
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void apply(int index, Point corner, InputOutputArray image, InputArray mask);
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std::vector<double> gains() const;
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private:
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Mat_<double> gains_;
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};
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/** @brief Exposure compensator which tries to remove exposure related artifacts by adjusting image block
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intensities, see @cite UES01 for details.
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*/
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class CV_EXPORTS BlocksGainCompensator : public ExposureCompensator
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{
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public:
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BlocksGainCompensator(int bl_width = 32, int bl_height = 32)
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: bl_width_(bl_width), bl_height_(bl_height) {}
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void feed(const std::vector<Point> &corners, const std::vector<UMat> &images,
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const std::vector<std::pair<UMat,uchar> > &masks);
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void apply(int index, Point corner, InputOutputArray image, InputArray mask);
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private:
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int bl_width_, bl_height_;
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std::vector<UMat> gain_maps_;
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};
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//! @}
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} // namespace detail
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} // namespace cv
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#endif // __OPENCV_STITCHING_EXPOSURE_COMPENSATE_HPP__
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