You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
246 lines
11 KiB
C++
246 lines
11 KiB
C++
/*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), similarity_threshold_(1) {}
|
|
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_; }
|
|
CV_WRAP void setSimilarityThreshold(double similarity_threshold) { similarity_threshold_ = similarity_threshold; }
|
|
CV_WRAP double getSimilarityThreshold() const { return similarity_threshold_; }
|
|
void prepareSimilarityMask(const std::vector<Point> &corners, const std::vector<UMat> &images);
|
|
std::vector<double> gains() const;
|
|
|
|
private:
|
|
UMat buildSimilarityMask(InputArray src_array1, InputArray src_array2);
|
|
|
|
Mat_<double> gains_;
|
|
int nr_feeds_;
|
|
double similarity_threshold_;
|
|
std::vector<UMat> 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<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_; }
|
|
CV_WRAP void setSimilarityThreshold(double similarity_threshold) { similarity_threshold_ = similarity_threshold; }
|
|
CV_WRAP double getSimilarityThreshold() const { return similarity_threshold_; }
|
|
std::vector<Scalar> gains() const { return gains_; }
|
|
|
|
private:
|
|
std::vector<Scalar> 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<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 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<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_;
|
|
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<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
|