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Volume: 28 | Article ID: art00016
Can the Problems of CIECAM02 Be Overcome without Losing Predicting Accuracy?
  DOI :  10.2352/ISSN.2470-1173.2016.20.COLOR-322  Published OnlineFebruary 2016

While CIECAM02 enjoys its popularity as being widely used in academic research and industrial applications, some problems are also identified. Unexpected computational failure is one of the important problems concerned by the cross-media colour reproduction industry. In the past few years, many suggestions are proposed for solving the convened problems under the same structure of the original CIECAM02. All the extension proposals have one thing in common that is at the expense of losing predicting accuracy compared with the original. In this paper, the chromatic and luminance adaptations are combined in one space rather than in two separate spaces in the original CIECAM02. The new proposed version not only overcomes all the problems concerned related to the CIECAM02, but also performs equally well or better than the original in predicting the visual corresponding colour datasets and the colour appearance datasets. Furthermore, it is simpler than the original.

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Zhifeng Wang, Zhiqiang Li, Ronnier Luo, Xuedong Zhang, Changjun Li, "Can the Problems of CIECAM02 Be Overcome without Losing Predicting Accuracy?in Proc. IS&T Int’l. Symp. on Electronic Imaging: Color Imaging XXI: Displaying, Processing, Hardcopy, and Applications,  2016,

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