Study on Color Space Conversion between CMYK and CIE L*a*b* Based on Generalized Regression Neural Network

摘要

The forward and reverse color space conversion models between CMYK and CIE L*a*b* based on Generalized Regression Neural Network are built by using the offset printing normal data of the ECI2002 standard color target. Then the accuracy of the models is tested. The result shows it is an efficient method to build the color space conversion between L*a*b* and CMYK using Generalized Regression Neural Network. So, the research work could provide a new and profound technical method to study on color space conversion in color management, on-line image detecting, computer color matching, digital proofing and image impainting, ect. Hence,it is valuable both in theory and application.