Study on Color Space Conversion Based on RBF Neural Network

Abstract:

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.

• Periodical: Advanced Materials Research (Volume 174)
• Pages: 28-31
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.174.28
• Online since: December 2010
• Authors: Cong Jun Cao, Qiang Jun Liu
• Keywords: Color Management, Color Space Conversion, RBF Neural Network

References

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