/*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_BLENDERS_HPP__ #define __OPENCV_STITCHING_BLENDERS_HPP__ #include "opencv2/core.hpp" namespace cv { namespace detail { //! @addtogroup stitching_blend //! @{ /** @brief Base class for all blenders. Simple blender which puts one image over another */ class CV_EXPORTS Blender { public: virtual ~Blender() {} enum { NO, FEATHER, MULTI_BAND }; static Ptr<Blender> createDefault(int type, bool try_gpu = false); /** @brief Prepares the blender for blending. @param corners Source images top-left corners @param sizes Source image sizes */ void prepare(const std::vector<Point> &corners, const std::vector<Size> &sizes); /** @overload */ virtual void prepare(Rect dst_roi); /** @brief Processes the image. @param img Source image @param mask Source image mask @param tl Source image top-left corners */ virtual void feed(InputArray img, InputArray mask, Point tl); /** @brief Blends and returns the final pano. @param dst Final pano @param dst_mask Final pano mask */ virtual void blend(InputOutputArray dst, InputOutputArray dst_mask); protected: UMat dst_, dst_mask_; Rect dst_roi_; }; /** @brief Simple blender which mixes images at its borders. */ class CV_EXPORTS FeatherBlender : public Blender { public: FeatherBlender(float sharpness = 0.02f); float sharpness() const { return sharpness_; } void setSharpness(float val) { sharpness_ = val; } void prepare(Rect dst_roi); void feed(InputArray img, InputArray mask, Point tl); void blend(InputOutputArray dst, InputOutputArray dst_mask); //! Creates weight maps for fixed set of source images by their masks and top-left corners. //! Final image can be obtained by simple weighting of the source images. Rect createWeightMaps(const std::vector<UMat> &masks, const std::vector<Point> &corners, std::vector<UMat> &weight_maps); private: float sharpness_; UMat weight_map_; UMat dst_weight_map_; }; inline FeatherBlender::FeatherBlender(float _sharpness) { setSharpness(_sharpness); } /** @brief Blender which uses multi-band blending algorithm (see @cite BA83). */ class CV_EXPORTS MultiBandBlender : public Blender { public: MultiBandBlender(int try_gpu = false, int num_bands = 5, int weight_type = CV_32F); int numBands() const { return actual_num_bands_; } void setNumBands(int val) { actual_num_bands_ = val; } void prepare(Rect dst_roi); void feed(InputArray img, InputArray mask, Point tl); void blend(InputOutputArray dst, InputOutputArray dst_mask); private: int actual_num_bands_, num_bands_; std::vector<UMat> dst_pyr_laplace_; std::vector<UMat> dst_band_weights_; Rect dst_roi_final_; bool can_use_gpu_; int weight_type_; //CV_32F or CV_16S }; ////////////////////////////////////////////////////////////////////////////// // Auxiliary functions void CV_EXPORTS normalizeUsingWeightMap(InputArray weight, InputOutputArray src); void CV_EXPORTS createWeightMap(InputArray mask, float sharpness, InputOutputArray weight); void CV_EXPORTS createLaplacePyr(InputArray img, int num_levels, std::vector<UMat>& pyr); void CV_EXPORTS createLaplacePyrGpu(InputArray img, int num_levels, std::vector<UMat>& pyr); // Restores source image void CV_EXPORTS restoreImageFromLaplacePyr(std::vector<UMat>& pyr); void CV_EXPORTS restoreImageFromLaplacePyrGpu(std::vector<UMat>& pyr); //! @} } // namespace detail } // namespace cv #endif // __OPENCV_STITCHING_BLENDERS_HPP__