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Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 6, Iss. 3 — Mar. 1, 2008
  • pp: 231–234

Scanner color management model based on improved back-propagation neural network

Xinwu Li  »View Author Affiliations


Chinese Optics Letters, Vol. 6, Issue 3, pp. 231-234 (2008)


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Abstract

Scanner color management is one of the key techniques for color reproduction in information optics. A new scanner color management model is presented based on analyzing rendering principle of scanning objects. In this model, a standard color target is taken as experimental sample. Color blocks in color shade area are used to substitute complete color space to solve the difficulties in selecting experimental color blocks. Immune genetic algorithm is used to correct back-propagation neural network (BPNN) to speed up the convergence of the model. Experimental results show that the model can improve the accuracy of scanner color management.

© 2008 Chinese Optics Letters

OCIS Codes
(330.0330) Vision, color, and visual optics : Vision, color, and visual optics
(330.1690) Vision, color, and visual optics : Color
(330.1710) Vision, color, and visual optics : Color, measurement

Citation
Xinwu Li, "Scanner color management model based on improved back-propagation neural network," Chin. Opt. Lett. 6, 231-234 (2008)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-6-3-231

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