8 November 2018 Color characterization for displays based on color appearance matching
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Abstract
The complexity of cross-media color reproduction is that even the problem of device dependence of color space is solved, color distortion still exists in the different background and viewing condition. In this study, the color characterization for the computer monitor is established with visual matching experiments that based on the color appearance model CIECAM02 and back propagation neural network (BPNN). After analyzing prediction results and the influence of training methods, transfer function, the number of hidden layers and nodes of BPNN, ‘log-sigmoid’ is selected as transfer function, the structure of BPNN is 3-6-6-6-3 in this paper. The average prediction color difference of training samples and test samples are 1.016 and 1.726 respectively within acceptable range of color difference of human vision.
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Xueqiong Bai, Ningfang Liao, Haobo Cheng, Wenming Yang, Chenyang Deng, and Yasheng Li "Color characterization for displays based on color appearance matching", Proc. SPIE 10817, Optoelectronic Imaging and Multimedia Technology V, 108170F (8 November 2018); doi: 10.1117/12.2500797; https://doi.org/10.1117/12.2500797
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