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An Improved Predictor of Colourfulness in a Model of Colour Vision
Author(s) -
Hunt R. W. G.
Publication year - 1994
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 - 10.1111/j.1520-6378.1994.tb00056.x
Subject(s) - luminance , observer (physics) , consistency (knowledge bases) , artificial intelligence , mathematics , statistics , computer vision , computer science , pattern recognition (psychology) , physics , quantum mechanics
An improved predictor of colourfulness in the Hunt 91 model of colour vision is described. A new chroma predictor allows for the effect of the luminance Jactor of the background more effectively, and results in more consistent predictions for different viewing conditions. The new colourfulness predictor is obtained by multiplying the new chroma predictor by a factor that varies more slowly with the level of adapting luminance than was the case for the old colourfulness predictor; this results in much better predictions, whose coefficients of variation are similar to those that characterize observer consistency. The steps required for reversing the model are given in an appendix.