Open Source Computer Vision Library https://opencv.org/
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/*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.
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//
// 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.
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// 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.
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//M*/
#ifndef __OPENCV_BLENDERS_HPP__
#define __OPENCV_BLENDERS_HPP__
#include "precomp.hpp"
// Simple blender which puts one image over another
class Blender
{
public:
enum { NO, FEATHER, MULTI_BAND };
static cv::Ptr<Blender> createDefault(int type, bool try_gpu = false);
void prepare(const std::vector<cv::Point> &corners, const std::vector<cv::Size> &sizes);
virtual void prepare(cv::Rect dst_roi);
virtual void feed(const cv::Mat &img, const cv::Mat &mask, cv::Point tl);
virtual void blend(cv::Mat &dst, cv::Mat &dst_mask);
protected:
cv::Mat dst_, dst_mask_;
cv::Rect dst_roi_;
};
class FeatherBlender : public Blender
{
public:
FeatherBlender(float sharpness = 0.02f) { setSharpness(sharpness); }
float sharpness() const { return sharpness_; }
void setSharpness(float val) { sharpness_ = val; }
void prepare(cv::Rect dst_roi);
void feed(const cv::Mat &img, const cv::Mat &mask, cv::Point tl);
void blend(cv::Mat &dst, cv::Mat &dst_mask);
private:
float sharpness_;
cv::Mat weight_map_;
cv::Mat dst_weight_map_;
};
class MultiBandBlender : public Blender
{
public:
MultiBandBlender(int try_gpu = false, int num_bands = 5);
int numBands() const { return actual_num_bands_; }
void setNumBands(int val) { actual_num_bands_ = val; }
void prepare(cv::Rect dst_roi);
void feed(const cv::Mat &img, const cv::Mat &mask, cv::Point tl);
void blend(cv::Mat &dst, cv::Mat &dst_mask);
private:
int actual_num_bands_, num_bands_;
std::vector<cv::Mat> dst_pyr_laplace_;
std::vector<cv::Mat> dst_band_weights_;
cv::Rect dst_roi_final_;
bool can_use_gpu_;
};
//////////////////////////////////////////////////////////////////////////////
// Auxiliary functions
void normalize(const cv::Mat& weight, cv::Mat& src);
void createWeightMap(const cv::Mat& mask, float sharpness, cv::Mat& weight);
void createLaplacePyr(const cv::Mat &img, int num_levels, std::vector<cv::Mat>& pyr);
void createLaplacePyrGpu(const cv::Mat &img, int num_levels, std::vector<cv::Mat>& pyr);
// Restores source image in-place (result will be stored in pyr[0])
void restoreImageFromLaplacePyr(std::vector<cv::Mat>& pyr);
#endif // __OPENCV_BLENDERS_HPP__