Simulation of CIECAM02 color appearance model based on Chinese color system

Color appearance model (CAM) can be used to determine the required colors for reproduction across changes in cross-media. CIECAM02 color appearance model prediction is implemented by artificial neural networks in this paper, which includes forward and reversed prediction. 1333 color samples as training samples and other 1332 color samples as test samples are selected in the Chinese color system. In order to test the prediction accuracy of neural networks after simulation of CIECAM02 color appearance model, the color-difference formula can be used for the evaluation of forward and reversed models. Results have shown that BP neural-network has acceptable accuracy in simulation of CIECAM02 color appearance model for colors of Chinese color system.