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std::cout<<"* Retina demonstration : demonstrates the use of is a wrapper class of the Gipsa/Listic Labs retina model."<<std::endl;
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std::cout<<"* This retina model allows spatio-temporal image processing (applied on still images, video sequences)."<<std::endl;
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std::cout<<"* As a summary, these are the retina model properties:"<<std::endl;
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std::cout<<"* => It applies a spectral whithening (mid-frequency details enhancement)"<<std::endl;
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std::cout<<"* => high frequency spatio-temporal noise reduction"<<std::endl;
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std::cout<<"* => low frequency luminance to be reduced (luminance range compression)"<<std::endl;
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std::cout<<"* => local logarithmic luminance compression allows details to be enhanced in low light conditions\n"<<std::endl;
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std::cout<<"* for more information, reer to the following papers :"<<std::endl;
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std::cout<<"* 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"<<std::endl;
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std::cout<<"* 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."<<std::endl;
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std::cout<<"* => reports comments/remarks at [email protected]"<<std::endl;
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std::cout<<"* => more informations and papers at : http://sites.google.com/site/benoitalexandrevision/"<<std::endl;
<<"* Retina demonstration : demonstrates the use of is a wrapper class of the Gipsa/Listic Labs retina model."<<std::endl
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<<"* This retina model allows spatio-temporal image processing (applied on still images, video sequences)."<<std::endl
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<<"* As a summary, these are the retina model properties:"<<std::endl
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<<"* => It applies a spectral whithening (mid-frequency details enhancement)"<<std::endl
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<<"* => high frequency spatio-temporal noise reduction"<<std::endl
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<<"* => low frequency luminance to be reduced (luminance range compression)"<<std::endl
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+
<<"* => local logarithmic luminance compression allows details to be enhanced in low light conditions\n"<<std::endl
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<<"* for more information, reer to the following papers :"<<std::endl
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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"<<std::endl
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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."<<std::endl
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