Paper Title:
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.

  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, 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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$32.00
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