retinafasttonemapping.hpp

[詳解]

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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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** Maintainers : Listic lab (code author current affiliation & applications) and Gipsa Lab (original research origins & applications)





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**  Creation - enhancement process 2007-2013





**      Author: Alexandre Benoit (benoit.alexandre.vision@gmail.com), LISTIC lab, Annecy le vieux, France





**





** 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).





** Refer to the following research paper for more information:





** 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





** 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:





** 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.





**





**





**





**





**





** 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:





** -> 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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#ifndef __OPENCV_BIOINSPIRED_RETINAFASTTONEMAPPING_HPP__




#define __OPENCV_BIOINSPIRED_RETINAFASTTONEMAPPING_HPP__








#include "opencv2/core.hpp"
// for all OpenCV core functionalities access, including cv::Exception support








namespace

cv{



namespace
bioinspired{











class
CV_EXPORTS_W
RetinaFastToneMapping
:
public
Algorithm



{



public:







CV_WRAP
virtual
void
applyFastToneMapping(InputArray inputImage,
OutputArray
outputToneMappedImage)=0;







CV_WRAP
virtual
void
setup(const
float
photoreceptorsNeighborhoodRadius=3.f,
const
float
ganglioncellsNeighborhoodRadius=1.f,
const
float
meanLuminanceModulatorK=1.f)=0;







CV_WRAP
static
Ptr<RetinaFastToneMapping>
create(Size
inputSize);


};














}


}



#endif

/* __OPENCV_BIOINSPIRED_RETINAFASTTONEMAPPING_HPP__ */