Study on Color Space Conversion Based on RBF Neural Network

Abstract:

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The conversions of color spaces are core techniques of modern ICC color management and the study of color space conversion algorithm between L*a*b* and CMYK is valuable both in theory and in application. In this paper, firstly ECI2002 standard color target data are uniformly selected, including modeling data and testing data; secondly the models of color space conversions from CMYK to L*a*b* and from L*a*b* to CMYK are built based on Radial Basis Function (RBF) neural network; finally the precision of the models are evaluated. This research indicates that the RBF neural network is suitable for the color space conversions between CMYK and L*a*b*. The models’ building processes are simpler and more convenient; the network has fast training speed and good results. With the improvement of the modeling method, this method for color space conversion will have a broader application.

Info:

Periodical:

Edited by:

OUYANG Yun, XU Min and YANG Li

Pages:

28-31

DOI:

10.4028/www.scientific.net/AMR.174.28

Citation:

C. J. Cao and Q. J. Liu, "Study on Color Space Conversion Based on RBF Neural Network", Advanced Materials Research, Vol. 174, pp. 28-31, 2011

Online since:

December 2010

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Price:

$35.00

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