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CAM20u : An extension of CAM16 for predicting the color appearance of unrelated colors
Author(s) -
Gao Cheng,
Li Changjun,
Shi Keyu,
Luo Ming R.,
Pointer Michael R.
Publication year - 2021
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/col.22615
Subject(s) - hue , brightness , active appearance model , artificial intelligence , computer science , color model , lightness , color space , pattern recognition (psychology) , computer vision , mathematics , image (mathematics) , optics , physics
A comprehensive color appearance model should be capable of predicting color appearance under a wide range of viewing conditions, including related and unrelated colors. The current CAM16 model was designed to predict the appearance of related colors and is in the process of becoming a CIE recommendation, to replace the current CIECAM02 model. This article describes an extension of CAM16 (named CAM20u) for predicting the brightness, hue quadrature, amount‐of‐white, and colorfulness attributes of unrelated colors. Its performance, together with that of other unrelated models, was tested based on the three available datasets. The results show that the CAM20u model significantly outperforms the others, especially for colorfulness and amount‐of‐white.