Abstract

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.

Keywords

LuminanceObserver (physics)Consistency (knowledge bases)Artificial intelligenceMathematicsStatisticsComputer visionComputer sciencePattern recognition (psychology)Physics

Affiliated Institutions

Related Publications

Publication Info

Year
1994
Type
article
Volume
19
Issue
1
Pages
23-26
Citations
80
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

80
OpenAlex

Cite This

Robert W. G. Hunt (1994). An Improved Predictor of Colourfulness in a Model of Colour Vision. Color Research & Application , 19 (1) , 23-26. https://doi.org/10.1111/j.1520-6378.1994.tb00056.x

Identifiers

DOI
10.1111/j.1520-6378.1994.tb00056.x