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334 lines
12 KiB
C++
334 lines
12 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2008-2012, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#ifndef __OPENCV_PHOTO_HPP__
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#define __OPENCV_PHOTO_HPP__
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#include "opencv2/core.hpp"
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#include "opencv2/imgproc.hpp"
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/*! \namespace cv
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Namespace where all the C++ OpenCV functionality resides
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*/
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namespace cv
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{
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//! the inpainting algorithm
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enum
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{
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INPAINT_NS = 0, // Navier-Stokes algorithm
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INPAINT_TELEA = 1 // A. Telea algorithm
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};
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enum
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{
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NORMAL_CLONE = 1,
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MIXED_CLONE = 2,
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MONOCHROME_TRANSFER = 3
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};
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enum
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{
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RECURS_FILTER = 1,
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NORMCONV_FILTER = 2
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};
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//! restores the damaged image areas using one of the available intpainting algorithms
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CV_EXPORTS_W void inpaint( InputArray src, InputArray inpaintMask,
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OutputArray dst, double inpaintRadius, int flags );
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CV_EXPORTS_W void fastNlMeansDenoising( InputArray src, OutputArray dst, float h = 3,
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int templateWindowSize = 7, int searchWindowSize = 21);
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CV_EXPORTS_W void fastNlMeansDenoisingColored( InputArray src, OutputArray dst,
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float h = 3, float hColor = 3,
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int templateWindowSize = 7, int searchWindowSize = 21);
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CV_EXPORTS_W void fastNlMeansDenoisingMulti( InputArrayOfArrays srcImgs, OutputArray dst,
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int imgToDenoiseIndex, int temporalWindowSize,
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float h = 3, int templateWindowSize = 7, int searchWindowSize = 21);
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CV_EXPORTS_W void fastNlMeansDenoisingColoredMulti( InputArrayOfArrays srcImgs, OutputArray dst,
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int imgToDenoiseIndex, int temporalWindowSize,
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float h = 3, float hColor = 3,
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int templateWindowSize = 7, int searchWindowSize = 21);
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enum { LDR_SIZE = 256 };
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class CV_EXPORTS_W Tonemap : public Algorithm
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{
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public:
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CV_WRAP virtual void process(InputArray src, OutputArray dst) = 0;
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CV_WRAP virtual float getGamma() const = 0;
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CV_WRAP virtual void setGamma(float gamma) = 0;
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};
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CV_EXPORTS_W Ptr<Tonemap> createTonemap(float gamma = 1.0f);
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// "Adaptive Logarithmic Mapping For Displaying HighContrast Scenes", Drago et al., 2003
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class CV_EXPORTS_W TonemapDrago : public Tonemap
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{
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public:
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CV_WRAP virtual float getSaturation() const = 0;
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CV_WRAP virtual void setSaturation(float saturation) = 0;
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CV_WRAP virtual float getBias() const = 0;
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CV_WRAP virtual void setBias(float bias) = 0;
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};
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CV_EXPORTS_W Ptr<TonemapDrago> createTonemapDrago(float gamma = 1.0f, float saturation = 1.0f, float bias = 0.85f);
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// "Fast Bilateral Filtering for the Display of High-Dynamic-Range Images", Durand, Dorsey, 2002
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class CV_EXPORTS_W TonemapDurand : public Tonemap
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{
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public:
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CV_WRAP virtual float getSaturation() const = 0;
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CV_WRAP virtual void setSaturation(float saturation) = 0;
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CV_WRAP virtual float getContrast() const = 0;
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CV_WRAP virtual void setContrast(float contrast) = 0;
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CV_WRAP virtual float getSigmaSpace() const = 0;
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CV_WRAP virtual void setSigmaSpace(float sigma_space) = 0;
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CV_WRAP virtual float getSigmaColor() const = 0;
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CV_WRAP virtual void setSigmaColor(float sigma_color) = 0;
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};
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CV_EXPORTS_W Ptr<TonemapDurand>
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createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float saturation = 1.0f, float sigma_space = 2.0f, float sigma_color = 2.0f);
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// "Dynamic Range Reduction Inspired by Photoreceptor Physiology", Reinhard, Devlin, 2005
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class CV_EXPORTS_W TonemapReinhard : public Tonemap
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{
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public:
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CV_WRAP virtual float getIntensity() const = 0;
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CV_WRAP virtual void setIntensity(float intensity) = 0;
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CV_WRAP virtual float getLightAdaptation() const = 0;
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CV_WRAP virtual void setLightAdaptation(float light_adapt) = 0;
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CV_WRAP virtual float getColorAdaptation() const = 0;
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CV_WRAP virtual void setColorAdaptation(float color_adapt) = 0;
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};
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CV_EXPORTS_W Ptr<TonemapReinhard>
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createTonemapReinhard(float gamma = 1.0f, float intensity = 0.0f, float light_adapt = 1.0f, float color_adapt = 0.0f);
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// "Perceptual Framework for Contrast Processing of High Dynamic Range Images", Mantiuk et al., 2006
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class CV_EXPORTS_W TonemapMantiuk : public Tonemap
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{
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public:
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CV_WRAP virtual float getScale() const = 0;
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CV_WRAP virtual void setScale(float scale) = 0;
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CV_WRAP virtual float getSaturation() const = 0;
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CV_WRAP virtual void setSaturation(float saturation) = 0;
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};
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CV_EXPORTS_W Ptr<TonemapMantiuk>
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createTonemapMantiuk(float gamma = 1.0f, float scale = 0.7f, float saturation = 1.0f);
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class CV_EXPORTS_W AlignExposures : public Algorithm
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{
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public:
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CV_WRAP virtual void process(InputArrayOfArrays src, std::vector<Mat>& dst,
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InputArray times, InputArray response) = 0;
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};
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// "Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Handheld Exposures", Ward, 2003
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class CV_EXPORTS_W AlignMTB : public AlignExposures
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{
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public:
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CV_WRAP virtual void process(InputArrayOfArrays src, std::vector<Mat>& dst,
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InputArray times, InputArray response) = 0;
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CV_WRAP virtual void process(InputArrayOfArrays src, std::vector<Mat>& dst) = 0;
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CV_WRAP virtual Point calculateShift(InputArray img0, InputArray img1) = 0;
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CV_WRAP virtual void shiftMat(InputArray src, OutputArray dst, const Point shift) = 0;
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CV_WRAP virtual void computeBitmaps(InputArray img, OutputArray tb, OutputArray eb) = 0;
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CV_WRAP virtual int getMaxBits() const = 0;
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CV_WRAP virtual void setMaxBits(int max_bits) = 0;
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CV_WRAP virtual int getExcludeRange() const = 0;
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CV_WRAP virtual void setExcludeRange(int exclude_range) = 0;
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CV_WRAP virtual bool getCut() const = 0;
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CV_WRAP virtual void setCut(bool value) = 0;
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};
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CV_EXPORTS_W Ptr<AlignMTB> createAlignMTB(int max_bits = 6, int exclude_range = 4, bool cut = true);
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class CV_EXPORTS_W CalibrateCRF : public Algorithm
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{
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public:
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CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times) = 0;
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};
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// "Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997
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class CV_EXPORTS_W CalibrateDebevec : public CalibrateCRF
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{
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public:
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CV_WRAP virtual float getLambda() const = 0;
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CV_WRAP virtual void setLambda(float lambda) = 0;
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CV_WRAP virtual int getSamples() const = 0;
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CV_WRAP virtual void setSamples(int samples) = 0;
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CV_WRAP virtual bool getRandom() const = 0;
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CV_WRAP virtual void setRandom(bool random) = 0;
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};
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CV_EXPORTS_W Ptr<CalibrateDebevec> createCalibrateDebevec(int samples = 70, float lambda = 10.0f, bool random = false);
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// "Dynamic range improvement through multiple exposures", Robertson et al., 1999
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class CV_EXPORTS_W CalibrateRobertson : public CalibrateCRF
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{
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public:
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CV_WRAP virtual int getMaxIter() const = 0;
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CV_WRAP virtual void setMaxIter(int max_iter) = 0;
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CV_WRAP virtual float getThreshold() const = 0;
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CV_WRAP virtual void setThreshold(float threshold) = 0;
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CV_WRAP virtual Mat getRadiance() const = 0;
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};
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CV_EXPORTS_W Ptr<CalibrateRobertson> createCalibrateRobertson(int max_iter = 30, float threshold = 0.01f);
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class CV_EXPORTS_W MergeExposures : public Algorithm
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{
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public:
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CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst,
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InputArray times, InputArray response) = 0;
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};
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// "Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997
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class CV_EXPORTS_W MergeDebevec : public MergeExposures
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{
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public:
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CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst,
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InputArray times, InputArray response) = 0;
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CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times) = 0;
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};
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CV_EXPORTS_W Ptr<MergeDebevec> createMergeDebevec();
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// "Exposure Fusion", Mertens et al., 2007
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class CV_EXPORTS_W MergeMertens : public MergeExposures
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{
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public:
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CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst,
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InputArray times, InputArray response) = 0;
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CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst) = 0;
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CV_WRAP virtual float getContrastWeight() const = 0;
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CV_WRAP virtual void setContrastWeight(float contrast_weiht) = 0;
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CV_WRAP virtual float getSaturationWeight() const = 0;
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CV_WRAP virtual void setSaturationWeight(float saturation_weight) = 0;
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CV_WRAP virtual float getExposureWeight() const = 0;
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CV_WRAP virtual void setExposureWeight(float exposure_weight) = 0;
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};
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CV_EXPORTS_W Ptr<MergeMertens>
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createMergeMertens(float contrast_weight = 1.0f, float saturation_weight = 1.0f, float exposure_weight = 0.0f);
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// "Dynamic range improvement through multiple exposures", Robertson et al., 1999
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class CV_EXPORTS_W MergeRobertson : public MergeExposures
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{
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public:
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CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst,
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InputArray times, InputArray response) = 0;
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CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times) = 0;
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};
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CV_EXPORTS_W Ptr<MergeRobertson> createMergeRobertson();
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CV_EXPORTS_W void decolor( InputArray src, OutputArray grayscale, OutputArray color_boost);
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CV_EXPORTS_W void seamlessClone( InputArray src, InputArray dst, InputArray mask, Point p,
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OutputArray blend, int flags);
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CV_EXPORTS_W void colorChange(InputArray src, InputArray mask, OutputArray dst, float red_mul = 1.0f,
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float green_mul = 1.0f, float blue_mul = 1.0f);
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CV_EXPORTS_W void illuminationChange(InputArray src, InputArray mask, OutputArray dst,
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float alpha = 0.2f, float beta = 0.4f);
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CV_EXPORTS_W void textureFlattening(InputArray src, InputArray mask, OutputArray dst,
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double low_threshold = 30, double high_threshold = 45,
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int kernel_size = 3);
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CV_EXPORTS_W void edgePreservingFilter(InputArray src, OutputArray dst, int flags = 1,
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float sigma_s = 60, float sigma_r = 0.4f);
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CV_EXPORTS_W void detailEnhance(InputArray src, OutputArray dst, float sigma_s = 10,
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float sigma_r = 0.15f);
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CV_EXPORTS_W void pencilSketch(InputArray src, OutputArray dst1, OutputArray dst2,
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float sigma_s = 60, float sigma_r = 0.07f, float shade_factor = 0.02f);
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CV_EXPORTS_W void stylization(InputArray src, OutputArray dst, float sigma_s = 60,
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float sigma_r = 0.45f);
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} // cv
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#endif
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