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Proceedings Paper

New color management model for digital camera based on immune genetic algorithm and neural network
Author(s): Xinwu Li
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Paper 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.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678632 (15 November 2007); doi: 10.1117/12.749876
Show Author Affiliations
Xinwu Li, Jiangxi Univ. of Finance and Economics (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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