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Proceedings Paper

Large and small color differences: predicting them from hue scaling
Author(s): Hoover Chan; Israel Abramov; James Gordon
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Paper Abstract

Color appearance can be specified by a procedure of direct hue scaling. In this procedure, subjects look at a stimulus and then simply state the proportions of their sensations using the four unique hue names red, yellow, green, and blue; to completeness, they also state the apparent saturation. Observers can scale stimuli quickly and reliably, and this is true even if they are relatively inexperienced. Thus stimuli can be rescaled whenever viewing conditions change such that a new specification of appearance is required. The scaled sensory values elicited by a set of stimuli are used to derive the locations of the stimuli on a color diagram that is based on appearance and which we term a Uniform Appearance Diagram (UAD). The orthogonal axes of these space are red-green and yellow-blue; the location of a stimulus specifies its hue and its distance from the origin specifies its apparent saturation. We have investigated the uniformity of this space by using a subject's UAD, for a particular set of viewing conditions, to predict both small and large color differences under comparable viewing conditions. For small-scale differences we compared wavelength discrimination functions derived from UADs with those obtained by direct adjustment of a bipartite field. For large-scale differences, subjects rated the degree of similarity of pairs of different wavelengths; these ratings were compared with the distances separating the same pairs of wavelengths on a UAD. In both cases, the agreements were very good, implying that UAD's are metrically uniform. Thus, UADs could be used to adjust the hues in a pseudo-color display so that all transitions would be equally perceptible or would differ by specified amounts.

Paper Details

Date Published: 1 June 1991
PDF: 9 pages
Proc. SPIE 1453, Human Vision, Visual Processing, and Digital Display II, (1 June 1991); doi: 10.1117/12.44371
Show Author Affiliations
Hoover Chan, Smith-Kettlewell Eye Research Institute (United States)
Israel Abramov, CUNY/Brooklyn College and The Rockefeller Univ. (United States)
James Gordon, CUNY/Hunter College and The Rockefeller Univ. (United States)


Published in SPIE Proceedings Vol. 1453:
Human Vision, Visual Processing, and Digital Display II
Bernice E. Rogowitz; Michael H. Brill; Jan P. Allebach, Editor(s)

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