139 lines
8.4 KiB
C++
139 lines
8.4 KiB
C++
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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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** bioinspired : interfaces allowing OpenCV users to integrate Human Vision System models. Presented models originate from Jeanny Herault's original research and have been reused and adapted by the author&collaborators for computed vision applications since his thesis with Alice Caplier at Gipsa-Lab.
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**
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** Maintainers : Listic lab (code author current affiliation & applications) and Gipsa Lab (original research origins & applications)
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**
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** Creation - enhancement process 2007-2013
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** Author: Alexandre Benoit (benoit.alexandre.vision@gmail.com), LISTIC lab, Annecy le vieux, France
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**
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** Theses algorithm have been developped by Alexandre BENOIT since his thesis with Alice Caplier at Gipsa-Lab (www.gipsa-lab.inpg.fr) and the research he pursues at LISTIC Lab (www.listic.univ-savoie.fr).
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** Refer to the following research paper for more information:
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** Benoit A., Caplier A., Durette B., Herault, J., "USING HUMAN VISUAL SYSTEM MODELING FOR BIO-INSPIRED LOW LEVEL IMAGE PROCESSING", Elsevier, Computer Vision and Image Understanding 114 (2010), pp. 758-773, DOI: http://dx.doi.org/10.1016/j.cviu.2010.01.011
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** This work have been carried out thanks to Jeanny Herault who's research and great discussions are the basis of all this work, please take a look at his book:
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** Vision: Images, Signals and Neural Networks: Models of Neural Processing in Visual Perception (Progress in Neural Processing),By: Jeanny Herault, ISBN: 9814273686. WAPI (Tower ID): 113266891.
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**
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**
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**
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**
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**
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** This class is based on image processing tools of the author and already used within the Retina class (this is the same code as method retina::applyFastToneMapping, but in an independent class, it is ligth from a memory requirement point of view). It implements an adaptation of the efficient tone mapping algorithm propose by David Alleyson, Sabine Susstruck and Laurence Meylan's work, please cite:
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** -> Meylan L., Alleysson D., and Susstrunk S., A Model of Retinal Local Adaptation for the Tone Mapping of Color Filter Array Images, Journal of Optical Society of America, A, Vol. 24, N 9, September, 1st, 2007, pp. 2807-2816
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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) 2008-2011, Willow Garage Inc., all rights reserved.
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**
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** For Human Visual System tools (bioinspired)
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** Copyright (C) 2007-2011, LISTIC Lab, Annecy le Vieux and GIPSA Lab, Grenoble, France, all rights reserved.
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**
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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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** * Redistributions 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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** * Redistributions 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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#ifndef __OPENCV_BIOINSPIRED_RETINAFASTTONEMAPPING_HPP__
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#define __OPENCV_BIOINSPIRED_RETINAFASTTONEMAPPING_HPP__
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/**
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@file
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@date May 26, 2013
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@author Alexandre Benoit
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*/
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#include "opencv2/core.hpp" // for all OpenCV core functionalities access, including cv::Exception support
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namespace cv{
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namespace bioinspired{
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//! @addtogroup bioinspired
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//! @{
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/** @brief a wrapper class which allows the tone mapping algorithm of Meylan&al(2007) to be used with OpenCV.
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This algorithm is already implemented in thre Retina class (retina::applyFastToneMapping) but used it does not require all the retina model to be allocated. This allows a light memory use for low memory devices (smartphones, etc.
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As a summary, these are the model properties:
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- 2 stages of local luminance adaptation with a different local neighborhood for each.
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- first stage models the retina photorecetors local luminance adaptation
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- second stage models th ganglion cells local information adaptation
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- compared to the initial publication, this class uses spatio-temporal low pass filters instead of spatial only filters.
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this can help noise robustness and temporal stability for video sequence use cases.
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for more information, read to the following papers :
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Meylan L., Alleysson D., and Susstrunk S., A Model of Retinal Local Adaptation for the Tone Mapping of Color Filter Array Images, Journal of Optical Society of America, A, Vol. 24, N 9, September, 1st, 2007, pp. 2807-2816Benoit A., Caplier A., Durette B., Herault, J., "USING HUMAN VISUAL SYSTEM MODELING FOR BIO-INSPIRED LOW LEVEL IMAGE PROCESSING", Elsevier, Computer Vision and Image Understanding 114 (2010), pp. 758-773, DOI: http://dx.doi.org/10.1016/j.cviu.2010.01.011
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regarding spatio-temporal filter and the bigger retina model :
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Vision: Images, Signals and Neural Networks: Models of Neural Processing in Visual Perception (Progress in Neural Processing),By: Jeanny Herault, ISBN: 9814273686. WAPI (Tower ID): 113266891.
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*/
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class CV_EXPORTS_W RetinaFastToneMapping : public Algorithm
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{
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public:
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/** @brief applies a luminance correction (initially High Dynamic Range (HDR) tone mapping)
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using only the 2 local adaptation stages of the retina parvocellular channel : photoreceptors
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level and ganlion cells level. Spatio temporal filtering is applied but limited to temporal
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smoothing and eventually high frequencies attenuation. This is a lighter method than the one
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available using the regular retina::run method. It is then faster but it does not include
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complete temporal filtering nor retina spectral whitening. Then, it can have a more limited
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effect on images with a very high dynamic range. This is an adptation of the original still
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image HDR tone mapping algorithm of David Alleyson, Sabine Susstruck and Laurence Meylan's
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work, please cite: -> Meylan L., Alleysson D., and Susstrunk S., A Model of Retinal Local
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Adaptation for the Tone Mapping of Color Filter Array Images, Journal of Optical Society of
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America, A, Vol. 24, N 9, September, 1st, 2007, pp. 2807-2816
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@param inputImage the input image to process RGB or gray levels
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@param outputToneMappedImage the output tone mapped image
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*/
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CV_WRAP virtual void applyFastToneMapping(InputArray inputImage, OutputArray outputToneMappedImage)=0;
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/** @brief updates tone mapping behaviors by adjusing the local luminance computation area
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@param photoreceptorsNeighborhoodRadius the first stage local adaptation area
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@param ganglioncellsNeighborhoodRadius the second stage local adaptation area
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@param meanLuminanceModulatorK the factor applied to modulate the meanLuminance information
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(default is 1, see reference paper)
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*/
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CV_WRAP virtual void setup(const float photoreceptorsNeighborhoodRadius=3.f, const float ganglioncellsNeighborhoodRadius=1.f, const float meanLuminanceModulatorK=1.f)=0;
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CV_WRAP static Ptr<RetinaFastToneMapping> create(Size inputSize);
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};
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//! @}
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}
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}
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#endif /* __OPENCV_BIOINSPIRED_RETINAFASTTONEMAPPING_HPP__ */
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