246 lines
11 KiB
C++
246 lines
11 KiB
C++
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/*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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#if defined(NO)
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# warning Detected Apple 'NO' macro definition, it can cause build conflicts. Please, include this header before any Apple headers.
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#endif
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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_W ExposureCompensator
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{
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public:
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ExposureCompensator(): updateGain(true) {}
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virtual ~ExposureCompensator() {}
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enum { NO, GAIN, GAIN_BLOCKS, CHANNELS, CHANNELS_BLOCKS };
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CV_WRAP 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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CV_WRAP 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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CV_WRAP virtual void apply(int index, Point corner, InputOutputArray image, InputArray mask) = 0;
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CV_WRAP virtual void getMatGains(CV_OUT std::vector<Mat>& ) {CV_Error(Error::StsInternal, "");};
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CV_WRAP virtual void setMatGains(std::vector<Mat>& ) { CV_Error(Error::StsInternal, ""); };
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CV_WRAP void setUpdateGain(bool b) { updateGain = b; };
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CV_WRAP bool getUpdateGain() { return updateGain; };
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protected :
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bool updateGain;
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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_W 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*/) CV_OVERRIDE { }
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CV_WRAP void apply(int /*index*/, Point /*corner*/, InputOutputArray /*image*/, InputArray /*mask*/) CV_OVERRIDE { }
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CV_WRAP void getMatGains(CV_OUT std::vector<Mat>& umv) CV_OVERRIDE { umv.clear(); return; };
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CV_WRAP void setMatGains(std::vector<Mat>& umv) CV_OVERRIDE { umv.clear(); return; };
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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_W GainCompensator : public ExposureCompensator
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{
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public:
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// This Constructor only exists to make source level compatibility detector happy
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CV_WRAP GainCompensator()
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: GainCompensator(1) {}
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CV_WRAP GainCompensator(int nr_feeds)
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: nr_feeds_(nr_feeds), similarity_threshold_(1) {}
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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) CV_OVERRIDE;
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void singleFeed(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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CV_WRAP void apply(int index, Point corner, InputOutputArray image, InputArray mask) CV_OVERRIDE;
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CV_WRAP void getMatGains(CV_OUT std::vector<Mat>& umv) CV_OVERRIDE ;
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CV_WRAP void setMatGains(std::vector<Mat>& umv) CV_OVERRIDE ;
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CV_WRAP void setNrFeeds(int nr_feeds) { nr_feeds_ = nr_feeds; }
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CV_WRAP int getNrFeeds() { return nr_feeds_; }
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CV_WRAP void setSimilarityThreshold(double similarity_threshold) { similarity_threshold_ = similarity_threshold; }
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CV_WRAP double getSimilarityThreshold() const { return similarity_threshold_; }
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void prepareSimilarityMask(const std::vector<Point> &corners, const std::vector<UMat> &images);
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std::vector<double> gains() const;
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private:
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UMat buildSimilarityMask(InputArray src_array1, InputArray src_array2);
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Mat_<double> gains_;
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int nr_feeds_;
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double similarity_threshold_;
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std::vector<UMat> similarities_;
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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 on each channel independently.
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*/
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class CV_EXPORTS_W ChannelsCompensator : public ExposureCompensator
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{
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public:
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CV_WRAP ChannelsCompensator(int nr_feeds=1)
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: nr_feeds_(nr_feeds), similarity_threshold_(1) {}
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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) CV_OVERRIDE;
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CV_WRAP void apply(int index, Point corner, InputOutputArray image, InputArray mask) CV_OVERRIDE;
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CV_WRAP void getMatGains(CV_OUT std::vector<Mat>& umv) CV_OVERRIDE;
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CV_WRAP void setMatGains(std::vector<Mat>& umv) CV_OVERRIDE;
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CV_WRAP void setNrFeeds(int nr_feeds) { nr_feeds_ = nr_feeds; }
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CV_WRAP int getNrFeeds() { return nr_feeds_; }
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CV_WRAP void setSimilarityThreshold(double similarity_threshold) { similarity_threshold_ = similarity_threshold; }
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CV_WRAP double getSimilarityThreshold() const { return similarity_threshold_; }
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std::vector<Scalar> gains() const { return gains_; }
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private:
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std::vector<Scalar> gains_;
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int nr_feeds_;
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double similarity_threshold_;
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};
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/** @brief Exposure compensator which tries to remove exposure related artifacts by adjusting image blocks.
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*/
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class CV_EXPORTS_W BlocksCompensator : public ExposureCompensator
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{
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public:
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BlocksCompensator(int bl_width=32, int bl_height=32, int nr_feeds=1)
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: bl_width_(bl_width), bl_height_(bl_height), nr_feeds_(nr_feeds), nr_gain_filtering_iterations_(2),
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similarity_threshold_(1) {}
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CV_WRAP void apply(int index, Point corner, InputOutputArray image, InputArray mask) CV_OVERRIDE;
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CV_WRAP void getMatGains(CV_OUT std::vector<Mat>& umv) CV_OVERRIDE;
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CV_WRAP void setMatGains(std::vector<Mat>& umv) CV_OVERRIDE;
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CV_WRAP void setNrFeeds(int nr_feeds) { nr_feeds_ = nr_feeds; }
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CV_WRAP int getNrFeeds() { return nr_feeds_; }
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CV_WRAP void setSimilarityThreshold(double similarity_threshold) { similarity_threshold_ = similarity_threshold; }
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CV_WRAP double getSimilarityThreshold() const { return similarity_threshold_; }
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CV_WRAP void setBlockSize(int width, int height) { bl_width_ = width; bl_height_ = height; }
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CV_WRAP void setBlockSize(Size size) { setBlockSize(size.width, size.height); }
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CV_WRAP Size getBlockSize() const { return Size(bl_width_, bl_height_); }
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CV_WRAP void setNrGainsFilteringIterations(int nr_iterations) { nr_gain_filtering_iterations_ = nr_iterations; }
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CV_WRAP int getNrGainsFilteringIterations() const { return nr_gain_filtering_iterations_; }
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protected:
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template<class Compensator>
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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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private:
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UMat getGainMap(const GainCompensator& compensator, int bl_idx, Size bl_per_img);
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UMat getGainMap(const ChannelsCompensator& compensator, int bl_idx, Size bl_per_img);
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int bl_width_, bl_height_;
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std::vector<UMat> gain_maps_;
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int nr_feeds_;
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int nr_gain_filtering_iterations_;
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double similarity_threshold_;
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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_W BlocksGainCompensator : public BlocksCompensator
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{
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public:
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// This Constructor only exists to make source level compatibility detector happy
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CV_WRAP BlocksGainCompensator(int bl_width = 32, int bl_height = 32)
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: BlocksGainCompensator(bl_width, bl_height, 1) {}
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CV_WRAP BlocksGainCompensator(int bl_width, int bl_height, int nr_feeds)
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: BlocksCompensator(bl_width, bl_height, nr_feeds) {}
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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) CV_OVERRIDE;
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// This function only exists to make source level compatibility detector happy
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CV_WRAP void apply(int index, Point corner, InputOutputArray image, InputArray mask) CV_OVERRIDE {
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BlocksCompensator::apply(index, corner, image, mask); }
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// This function only exists to make source level compatibility detector happy
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CV_WRAP void getMatGains(CV_OUT std::vector<Mat>& umv) CV_OVERRIDE { BlocksCompensator::getMatGains(umv); }
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// This function only exists to make source level compatibility detector happy
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CV_WRAP void setMatGains(std::vector<Mat>& umv) CV_OVERRIDE { BlocksCompensator::setMatGains(umv); }
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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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on each channel.
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*/
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class CV_EXPORTS_W BlocksChannelsCompensator : public BlocksCompensator
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{
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public:
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CV_WRAP BlocksChannelsCompensator(int bl_width=32, int bl_height=32, int nr_feeds=1)
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: BlocksCompensator(bl_width, bl_height, nr_feeds) {}
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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) CV_OVERRIDE;
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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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