exposure_compensate.hpp 10.3 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230
/*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<ExposureCompensator> 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<Point> &corners, const std::vector<UMat> &images,
        const std::vector<UMat> &masks);
    /** @overload */
    virtual void feed(const std::vector<Point> &corners, const std::vector<UMat> &images,
        const std::vector<std::pair<UMat, uchar> > &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<Mat>& ) {CV_Error(Error::StsInternal, "");};
    CV_WRAP virtual void setMatGains(std::vector<Mat>& ) { 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<Point> &/*corners*/, const std::vector<UMat> &/*images*/,
              const std::vector<std::pair<UMat,uchar> > &/*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<Mat>& umv) CV_OVERRIDE { umv.clear(); return; };
    CV_WRAP void setMatGains(std::vector<Mat>& 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) {}
    void feed(const std::vector<Point> &corners, const std::vector<UMat> &images,
              const std::vector<std::pair<UMat,uchar> > &masks) CV_OVERRIDE;
    void singleFeed(const std::vector<Point> &corners, const std::vector<UMat> &images,
                    const std::vector<std::pair<UMat,uchar> > &masks);
    CV_WRAP void apply(int index, Point corner, InputOutputArray image, InputArray mask) CV_OVERRIDE;
    CV_WRAP void getMatGains(CV_OUT std::vector<Mat>& umv) CV_OVERRIDE ;
    CV_WRAP void setMatGains(std::vector<Mat>& umv) CV_OVERRIDE ;
    CV_WRAP void setNrFeeds(int nr_feeds) { nr_feeds_ = nr_feeds; }
    CV_WRAP int getNrFeeds() { return nr_feeds_; }
    std::vector<double> gains() const;

private:
    Mat_<double> gains_;
    int nr_feeds_;
};

/** @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) {}
    void feed(const std::vector<Point> &corners, const std::vector<UMat> &images,
              const std::vector<std::pair<UMat,uchar> > &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<Mat>& umv) CV_OVERRIDE;
    CV_WRAP void setMatGains(std::vector<Mat>& umv) CV_OVERRIDE;
    CV_WRAP void setNrFeeds(int nr_feeds) { nr_feeds_ = nr_feeds; }
    CV_WRAP int getNrFeeds() { return nr_feeds_; }
    std::vector<Scalar> gains() const { return gains_; }

private:
    std::vector<Scalar> gains_;
    int nr_feeds_;
};

/** @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) {}
    CV_WRAP void apply(int index, Point corner, InputOutputArray image, InputArray mask) CV_OVERRIDE;
    CV_WRAP void getMatGains(CV_OUT std::vector<Mat>& umv) CV_OVERRIDE;
    CV_WRAP void setMatGains(std::vector<Mat>& umv) CV_OVERRIDE;
    CV_WRAP void setNrFeeds(int nr_feeds) { nr_feeds_ = nr_feeds; }
    CV_WRAP int getNrFeeds() { return nr_feeds_; }
    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<class Compensator>
    void feed(const std::vector<Point> &corners, const std::vector<UMat> &images,
              const std::vector<std::pair<UMat,uchar> > &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<UMat> gain_maps_;
    int nr_feeds_;
    int nr_gain_filtering_iterations_;
};

/** @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<Point> &corners, const std::vector<UMat> &images,
              const std::vector<std::pair<UMat,uchar> > &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<Mat>& umv) CV_OVERRIDE { BlocksCompensator::getMatGains(umv); }
    // This function only exists to make source level compatibility detector happy
    CV_WRAP void setMatGains(std::vector<Mat>& 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<Point> &corners, const std::vector<UMat> &images,
              const std::vector<std::pair<UMat,uchar> > &masks) CV_OVERRIDE;
};
//! @}

} // namespace detail
} // namespace cv

#endif // OPENCV_STITCHING_EXPOSURE_COMPENSATE_HPP