关键词: 广义回归神经网络, 数码打样, 色彩空间转换, 色彩管理

Abstract: Color conversion algorithm of CMYK and CIE L*a*b* is the key technique in output device characterization and color management module. In this paper the forward and reverse color space conversion models between CMYK and CIE L*a*b* based on Generalized Regression Neural Network (GRNN) were built using the color data of the digital proof. Then the accuracy of the models were tested. Finally, The result shows that it is an efficient method to build the color space conversion between CIE L*a*b* and CMYK using GRNN, which gains an advantage over BP network not only in training convenience, speed but also precision. network not only in training convenience, speed but also precision.

Key words: GRNN（Generalized Regression Neural Network）, Digital proof, Color space conversion, color management