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Open Source Computer Vision Library
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239 lines
9.0 KiB
239 lines
9.0 KiB
/*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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CV_EXPORTS_W bool initModule_photo(); |
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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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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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class CV_EXPORTS_W TonemapLinear : public Tonemap |
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{ |
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}; |
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CV_EXPORTS_W Ptr<TonemapLinear> createTonemapLinear(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 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 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 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 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 TonemapReinhardDevlin : 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<TonemapReinhardDevlin> |
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createTonemapReinhardDevlin(float gamma = 1.0f, float intensity = 0.0f, float light_adapt = 1.0f, float color_adapt = 0.0f); |
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class CV_EXPORTS_W ExposureAlign : public Algorithm |
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{ |
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public: |
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CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst, |
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const std::vector<float>& times, InputArray response) = 0; |
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}; |
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class CV_EXPORTS_W AlignMTB : public ExposureAlign |
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{ |
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public: |
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CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst, |
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const std::vector<float>& times, InputArray response) = 0; |
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CV_WRAP virtual void process(InputArrayOfArrays src, OutputArrayOfArrays dst) = 0; |
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CV_WRAP virtual void calculateShift(InputArray img0, InputArray img1, Point& shift) = 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 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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}; |
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// "Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Handheld Exposures", Ward, 2003 |
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CV_EXPORTS_W Ptr<AlignMTB> createAlignMTB(int max_bits = 6, int exclude_range = 4); |
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class CV_EXPORTS_W ExposureCalibrate : public Algorithm |
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{ |
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public: |
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CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, std::vector<float>& 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 ExposureCalibrate |
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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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}; |
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CV_EXPORTS_W Ptr<CalibrateDebevec> createCalibrateDebevec(int samples = 50, float lambda = 10.0f); |
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class CV_EXPORTS_W ExposureMerge : 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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const std::vector<float>& 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 ExposureMerge |
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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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const std::vector<float>& times, InputArray response) = 0; |
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CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, const std::vector<float>& 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 ExposureMerge |
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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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const std::vector<float>& 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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} // cv |
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#endif
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