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Research on Color Space Conversion Model from CMYK to CIE-LAB Based on GRNN

2018; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-319-75786-5_21

1611-3349

Xinyue Bao, Wangan Song, Sheng Liu,

Industrial Vision Systems and Defect Detection

In order to reproduce color information accurately in cross media transmission, a color space conversion model from CMYK color space to CIE-LAB based on generalized regression neural network (GRNN) was proposed. According to the structure and mathematical model of GRNN neural network, the CMYK-LAB color space conversion model was established. By training sample and comparing the mean square error of the sample data, the distribution coefficients were determined, and CMYK- LAB color space conversion model based on GRNN was eventually obtained and the accuracy was tested. According to these data, sample data and test data was determined. The results showed that color space conversion from CMYK to CIE-LAB on GRNN had faster conversion speed and accuracy compared with the color space conversion method based on BP neural network, the demand on printing industry can be met.