15 November 2007 New color management model for digital camera based on immune genetic algorithm and neural network
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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678632 (2007) https://doi.org/10.1117/12.749876
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Color management for scanner is one of the key techniques in the color reproduction in information optics. A new digital Camera color management model is presented based on analyzing its rendering principle. First, standard color target is taken for experimental sample and substitutes color blocks in color shade district for complete color space to solve the difficulties of experimental color blocks selecting. Second, Immune Genetic Algorithm is presented to correct BP neural network to speed up the convergence of the model. Finally the experimental results show that the model can improve scanner color management accuracy and can be used in digital Camera color management practically.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xinwu Li, Xinwu Li, } "New color management model for digital camera based on immune genetic algorithm and neural network", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678632 (15 November 2007); doi: 10.1117/12.749876; https://doi.org/10.1117/12.749876
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