/*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) 2008-2012, 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_PHOTO_HPP__ #define __OPENCV_PHOTO_HPP__ #include "opencv2/core.hpp" #include "opencv2/imgproc.hpp" /*! \namespace cv Namespace where all the C++ OpenCV functionality resides */ namespace cv { //! the inpainting algorithm enum { INPAINT_NS = 0, // Navier-Stokes algorithm INPAINT_TELEA = 1 // A. Telea algorithm }; //! restores the damaged image areas using one of the available intpainting algorithms CV_EXPORTS_W void inpaint( InputArray src, InputArray inpaintMask, OutputArray dst, double inpaintRadius, int flags ); CV_EXPORTS_W void fastNlMeansDenoising( InputArray src, OutputArray dst, float h = 3, int templateWindowSize = 7, int searchWindowSize = 21); CV_EXPORTS_W void fastNlMeansDenoisingColored( InputArray src, OutputArray dst, float h = 3, float hColor = 3, int templateWindowSize = 7, int searchWindowSize = 21); CV_EXPORTS_W void fastNlMeansDenoisingMulti( InputArrayOfArrays srcImgs, OutputArray dst, int imgToDenoiseIndex, int temporalWindowSize, float h = 3, int templateWindowSize = 7, int searchWindowSize = 21); CV_EXPORTS_W void fastNlMeansDenoisingColoredMulti( InputArrayOfArrays srcImgs, OutputArray dst, int imgToDenoiseIndex, int temporalWindowSize, float h = 3, float hColor = 3, int templateWindowSize = 7, int searchWindowSize = 21); enum { LDR_SIZE = 256 }; class CV_EXPORTS_W Tonemap : public Algorithm { public: CV_WRAP virtual void process(InputArray src, OutputArray dst) = 0; CV_WRAP virtual float getGamma() const = 0; CV_WRAP virtual void setGamma(float gamma) = 0; }; CV_EXPORTS_W Ptr createTonemap(float gamma = 1.0f); // "Adaptive Logarithmic Mapping For Displaying HighContrast Scenes", Drago et al., 2003 class CV_EXPORTS_W TonemapDrago : public Tonemap { public: CV_WRAP virtual float getSaturation() const = 0; CV_WRAP virtual void setSaturation(float saturation) = 0; CV_WRAP virtual float getBias() const = 0; CV_WRAP virtual void setBias(float bias) = 0; }; CV_EXPORTS_W Ptr createTonemapDrago(float gamma = 1.0f, float saturation = 1.0f, float bias = 0.85f); // "Fast Bilateral Filtering for the Display of High-Dynamic-Range Images", Durand, Dorsey, 2002 class CV_EXPORTS_W TonemapDurand : public Tonemap { public: CV_WRAP virtual float getSaturation() const = 0; CV_WRAP virtual void setSaturation(float saturation) = 0; CV_WRAP virtual float getContrast() const = 0; CV_WRAP virtual void setContrast(float contrast) = 0; CV_WRAP virtual float getSigmaSpace() const = 0; CV_WRAP virtual void setSigmaSpace(float sigma_space) = 0; CV_WRAP virtual float getSigmaColor() const = 0; CV_WRAP virtual void setSigmaColor(float sigma_color) = 0; }; CV_EXPORTS_W Ptr createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float saturation = 1.0f, float sigma_space = 2.0f, float sigma_color = 2.0f); // "Dynamic Range Reduction Inspired by Photoreceptor Physiology", Reinhard, Devlin, 2005 class CV_EXPORTS_W TonemapReinhard : public Tonemap { public: CV_WRAP virtual float getIntensity() const = 0; CV_WRAP virtual void setIntensity(float intensity) = 0; CV_WRAP virtual float getLightAdaptation() const = 0; CV_WRAP virtual void setLightAdaptation(float light_adapt) = 0; CV_WRAP virtual float getColorAdaptation() const = 0; CV_WRAP virtual void setColorAdaptation(float color_adapt) = 0; }; CV_EXPORTS_W Ptr createTonemapReinhard(float gamma = 1.0f, float intensity = 0.0f, float light_adapt = 1.0f, float color_adapt = 0.0f); // "Perceptual Framework for Contrast Processing of High Dynamic Range Images", Mantiuk et al., 2006 class CV_EXPORTS_W TonemapMantiuk : public Tonemap { public: CV_WRAP virtual float getScale() const = 0; CV_WRAP virtual void setScale(float scale) = 0; CV_WRAP virtual float getSaturation() const = 0; CV_WRAP virtual void setSaturation(float saturation) = 0; }; CV_EXPORTS_W Ptr createTonemapMantiuk(float gamma = 1.0f, float scale = 0.7f, float saturation = 1.0f); class CV_EXPORTS_W AlignExposures : public Algorithm { public: CV_WRAP virtual void process(InputArrayOfArrays src, std::vector& dst, InputArray times, InputArray response) = 0; }; // "Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Handheld Exposures", Ward, 2003 class CV_EXPORTS_W AlignMTB : public AlignExposures { public: CV_WRAP virtual void process(InputArrayOfArrays src, std::vector& dst, InputArray times, InputArray response) = 0; CV_WRAP virtual void process(InputArrayOfArrays src, std::vector& dst) = 0; CV_WRAP virtual Point calculateShift(InputArray img0, InputArray img1) = 0; CV_WRAP virtual void shiftMat(InputArray src, OutputArray dst, const Point shift) = 0; CV_WRAP virtual void computeBitmaps(InputArray img, OutputArray tb, OutputArray eb) = 0; CV_WRAP virtual int getMaxBits() const = 0; CV_WRAP virtual void setMaxBits(int max_bits) = 0; CV_WRAP virtual int getExcludeRange() const = 0; CV_WRAP virtual void setExcludeRange(int exclude_range) = 0; CV_WRAP virtual bool getCut() const = 0; CV_WRAP virtual void setCut(bool value) = 0; }; CV_EXPORTS_W Ptr createAlignMTB(int max_bits = 6, int exclude_range = 4, bool cut = true); class CV_EXPORTS_W CalibrateCRF : public Algorithm { public: CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times) = 0; }; // "Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997 class CV_EXPORTS_W CalibrateDebevec : public CalibrateCRF { public: CV_WRAP virtual float getLambda() const = 0; CV_WRAP virtual void setLambda(float lambda) = 0; CV_WRAP virtual int getSamples() const = 0; CV_WRAP virtual void setSamples(int samples) = 0; CV_WRAP virtual bool getRandom() const = 0; CV_WRAP virtual void setRandom(bool random) = 0; }; CV_EXPORTS_W Ptr createCalibrateDebevec(int samples = 70, float lambda = 10.0f, bool random = false); // "Dynamic range improvement through multiple exposures", Robertson et al., 1999 class CV_EXPORTS_W CalibrateRobertson : public CalibrateCRF { public: CV_WRAP virtual int getMaxIter() const = 0; CV_WRAP virtual void setMaxIter(int max_iter) = 0; CV_WRAP virtual float getThreshold() const = 0; CV_WRAP virtual void setThreshold(float threshold) = 0; CV_WRAP virtual Mat getRadiance() const = 0; }; CV_EXPORTS_W Ptr createCalibrateRobertson(int max_iter = 30, float threshold = 0.01f); class CV_EXPORTS_W MergeExposures : public Algorithm { public: CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times, InputArray response) = 0; }; // "Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997 class CV_EXPORTS_W MergeDebevec : public MergeExposures { public: CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times, InputArray response) = 0; CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times) = 0; }; CV_EXPORTS_W Ptr createMergeDebevec(); // "Exposure Fusion", Mertens et al., 2007 class CV_EXPORTS_W MergeMertens : public MergeExposures { public: CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times, InputArray response) = 0; CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst) = 0; CV_WRAP virtual float getContrastWeight() const = 0; CV_WRAP virtual void setContrastWeight(float contrast_weiht) = 0; CV_WRAP virtual float getSaturationWeight() const = 0; CV_WRAP virtual void setSaturationWeight(float saturation_weight) = 0; CV_WRAP virtual float getExposureWeight() const = 0; CV_WRAP virtual void setExposureWeight(float exposure_weight) = 0; }; CV_EXPORTS_W Ptr createMergeMertens(float contrast_weight = 1.0f, float saturation_weight = 1.0f, float exposure_weight = 0.0f); // "Dynamic range improvement through multiple exposures", Robertson et al., 1999 class CV_EXPORTS_W MergeRobertson : public MergeExposures { public: CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times, InputArray response) = 0; CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times) = 0; }; CV_EXPORTS_W Ptr createMergeRobertson(); CV_EXPORTS_W void decolor(InputArray src, OutputArray grayscale, OutputArray color_boost); } // cv #endif