/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #ifndef OPENCV_STITCHING_EXPOSURE_COMPENSATE_HPP #define OPENCV_STITCHING_EXPOSURE_COMPENSATE_HPP #if defined(NO) # warning Detected Apple 'NO' macro definition, it can cause build conflicts. Please, include this header before any Apple headers. #endif #include "opencv2/core.hpp" namespace cv { namespace detail { //! @addtogroup stitching_exposure //! @{ /** @brief Base class for all exposure compensators. */ class CV_EXPORTS_W ExposureCompensator { public: ExposureCompensator(): updateGain(true) {} virtual ~ExposureCompensator() {} enum { NO, GAIN, GAIN_BLOCKS, CHANNELS, CHANNELS_BLOCKS }; CV_WRAP static Ptr createDefault(int type); /** @param corners Source image top-left corners @param images Source images @param masks Image masks to update (second value in pair specifies the value which should be used to detect where image is) */ CV_WRAP void feed(const std::vector &corners, const std::vector &images, const std::vector &masks); /** @overload */ virtual void feed(const std::vector &corners, const std::vector &images, const std::vector > &masks) = 0; /** @brief Compensate exposure in the specified image. @param index Image index @param corner Image top-left corner @param image Image to process @param mask Image mask */ CV_WRAP virtual void apply(int index, Point corner, InputOutputArray image, InputArray mask) = 0; CV_WRAP virtual void getMatGains(CV_OUT std::vector& ) {CV_Error(Error::StsInternal, "");}; CV_WRAP virtual void setMatGains(std::vector& ) { CV_Error(Error::StsInternal, ""); }; CV_WRAP void setUpdateGain(bool b) { updateGain = b; }; CV_WRAP bool getUpdateGain() { return updateGain; }; protected : bool updateGain; }; /** @brief Stub exposure compensator which does nothing. */ class CV_EXPORTS_W NoExposureCompensator : public ExposureCompensator { public: void feed(const std::vector &/*corners*/, const std::vector &/*images*/, const std::vector > &/*masks*/) CV_OVERRIDE { } CV_WRAP void apply(int /*index*/, Point /*corner*/, InputOutputArray /*image*/, InputArray /*mask*/) CV_OVERRIDE { } CV_WRAP void getMatGains(CV_OUT std::vector& umv) CV_OVERRIDE { umv.clear(); return; }; CV_WRAP void setMatGains(std::vector& umv) CV_OVERRIDE { umv.clear(); return; }; }; /** @brief Exposure compensator which tries to remove exposure related artifacts by adjusting image intensities, see @cite BL07 and @cite WJ10 for details. */ class CV_EXPORTS_W GainCompensator : public ExposureCompensator { public: // This Constructor only exists to make source level compatibility detector happy CV_WRAP GainCompensator() : GainCompensator(1) {} CV_WRAP GainCompensator(int nr_feeds) : nr_feeds_(nr_feeds), similarity_threshold_(1) {} void feed(const std::vector &corners, const std::vector &images, const std::vector > &masks) CV_OVERRIDE; void singleFeed(const std::vector &corners, const std::vector &images, const std::vector > &masks); CV_WRAP void apply(int index, Point corner, InputOutputArray image, InputArray mask) CV_OVERRIDE; CV_WRAP void getMatGains(CV_OUT std::vector& umv) CV_OVERRIDE ; CV_WRAP void setMatGains(std::vector& umv) CV_OVERRIDE ; CV_WRAP void setNrFeeds(int nr_feeds) { nr_feeds_ = nr_feeds; } CV_WRAP int getNrFeeds() { return nr_feeds_; } CV_WRAP void setSimilarityThreshold(double similarity_threshold) { similarity_threshold_ = similarity_threshold; } CV_WRAP double getSimilarityThreshold() const { return similarity_threshold_; } void prepareSimilarityMask(const std::vector &corners, const std::vector &images); std::vector gains() const; private: UMat buildSimilarityMask(InputArray src_array1, InputArray src_array2); Mat_ gains_; int nr_feeds_; double similarity_threshold_; std::vector similarities_; }; /** @brief Exposure compensator which tries to remove exposure related artifacts by adjusting image intensities on each channel independently. */ class CV_EXPORTS_W ChannelsCompensator : public ExposureCompensator { public: CV_WRAP ChannelsCompensator(int nr_feeds=1) : nr_feeds_(nr_feeds), similarity_threshold_(1) {} void feed(const std::vector &corners, const std::vector &images, const std::vector > &masks) CV_OVERRIDE; CV_WRAP void apply(int index, Point corner, InputOutputArray image, InputArray mask) CV_OVERRIDE; CV_WRAP void getMatGains(CV_OUT std::vector& umv) CV_OVERRIDE; CV_WRAP void setMatGains(std::vector& umv) CV_OVERRIDE; CV_WRAP void setNrFeeds(int nr_feeds) { nr_feeds_ = nr_feeds; } CV_WRAP int getNrFeeds() { return nr_feeds_; } CV_WRAP void setSimilarityThreshold(double similarity_threshold) { similarity_threshold_ = similarity_threshold; } CV_WRAP double getSimilarityThreshold() const { return similarity_threshold_; } std::vector gains() const { return gains_; } private: std::vector gains_; int nr_feeds_; double similarity_threshold_; }; /** @brief Exposure compensator which tries to remove exposure related artifacts by adjusting image blocks. */ class CV_EXPORTS_W BlocksCompensator : public ExposureCompensator { public: BlocksCompensator(int bl_width=32, int bl_height=32, int nr_feeds=1) : bl_width_(bl_width), bl_height_(bl_height), nr_feeds_(nr_feeds), nr_gain_filtering_iterations_(2), similarity_threshold_(1) {} CV_WRAP void apply(int index, Point corner, InputOutputArray image, InputArray mask) CV_OVERRIDE; CV_WRAP void getMatGains(CV_OUT std::vector& umv) CV_OVERRIDE; CV_WRAP void setMatGains(std::vector& umv) CV_OVERRIDE; CV_WRAP void setNrFeeds(int nr_feeds) { nr_feeds_ = nr_feeds; } CV_WRAP int getNrFeeds() { return nr_feeds_; } CV_WRAP void setSimilarityThreshold(double similarity_threshold) { similarity_threshold_ = similarity_threshold; } CV_WRAP double getSimilarityThreshold() const { return similarity_threshold_; } CV_WRAP void setBlockSize(int width, int height) { bl_width_ = width; bl_height_ = height; } CV_WRAP void setBlockSize(Size size) { setBlockSize(size.width, size.height); } CV_WRAP Size getBlockSize() const { return Size(bl_width_, bl_height_); } CV_WRAP void setNrGainsFilteringIterations(int nr_iterations) { nr_gain_filtering_iterations_ = nr_iterations; } CV_WRAP int getNrGainsFilteringIterations() const { return nr_gain_filtering_iterations_; } protected: template void feed(const std::vector &corners, const std::vector &images, const std::vector > &masks); private: UMat getGainMap(const GainCompensator& compensator, int bl_idx, Size bl_per_img); UMat getGainMap(const ChannelsCompensator& compensator, int bl_idx, Size bl_per_img); int bl_width_, bl_height_; std::vector gain_maps_; int nr_feeds_; int nr_gain_filtering_iterations_; double similarity_threshold_; }; /** @brief Exposure compensator which tries to remove exposure related artifacts by adjusting image block intensities, see @cite UES01 for details. */ class CV_EXPORTS_W BlocksGainCompensator : public BlocksCompensator { public: // This Constructor only exists to make source level compatibility detector happy CV_WRAP BlocksGainCompensator(int bl_width = 32, int bl_height = 32) : BlocksGainCompensator(bl_width, bl_height, 1) {} CV_WRAP BlocksGainCompensator(int bl_width, int bl_height, int nr_feeds) : BlocksCompensator(bl_width, bl_height, nr_feeds) {} void feed(const std::vector &corners, const std::vector &images, const std::vector > &masks) CV_OVERRIDE; // This function only exists to make source level compatibility detector happy CV_WRAP void apply(int index, Point corner, InputOutputArray image, InputArray mask) CV_OVERRIDE { BlocksCompensator::apply(index, corner, image, mask); } // This function only exists to make source level compatibility detector happy CV_WRAP void getMatGains(CV_OUT std::vector& umv) CV_OVERRIDE { BlocksCompensator::getMatGains(umv); } // This function only exists to make source level compatibility detector happy CV_WRAP void setMatGains(std::vector& umv) CV_OVERRIDE { BlocksCompensator::setMatGains(umv); } }; /** @brief Exposure compensator which tries to remove exposure related artifacts by adjusting image block on each channel. */ class CV_EXPORTS_W BlocksChannelsCompensator : public BlocksCompensator { public: CV_WRAP BlocksChannelsCompensator(int bl_width=32, int bl_height=32, int nr_feeds=1) : BlocksCompensator(bl_width, bl_height, nr_feeds) {} void feed(const std::vector &corners, const std::vector &images, const std::vector > &masks) CV_OVERRIDE; }; //! @} } // namespace detail } // namespace cv #endif // OPENCV_STITCHING_EXPOSURE_COMPENSATE_HPP