Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

von Kries Coefficient Law Applied to Subjective Color Change Induced by Background Color

Not Accessible

Your library or personal account may give you access

Abstract

Quantitative prediction of subjective color change induced by a chromatic background has been developed, based on the von Kries coefficient law, and tested by experiment. The presupposed viewing condition is to make a color match between two small target colors placed in the centers of two adjacent chromatic backgrounds. The state of adaptation of the eyes observing the target T1 is mostly determined by the immediate background B1 but there is some contribution of the background B2. Assume that the effect of the immediate background on the adaptation is n times greater than the effect of the other; then, based on the von Kries coefficient law, the sensitivity of the eye to one of the three fundamental responses R is inversely proportional to nRB1+RB2, where RB1 and RB2 are the fundamental responses to the backgrounds 1 and 2. The same considerations can be applied when the target 2 is observed; then

RT1/(nRB1+RB2)=RT2/(nRB2+RB1),
where RT1 and RT2 are the fundamental responses of T1 and T2. From the equation, from RB1, RB2 and RT1 and an assumed weight factor n, the fundamental response RT2 of the T2 that matches T1 on the different chromatic background can be estimated. The prediction was tested by observation and it was found that weight factors ranging from 1.2 to 1.6 gave reasonable predictions. Two kinds of minor adjustments were applied to the basic predictions; the prediction was improved by the adjustments.

© 1969 Optical Society of America

Full Article  |  PDF Article
More Like This
Lightness Change of Grays Induced by Change in Reflectance of Gray Background*

H. Takasaki
J. Opt. Soc. Am. 56(4) 504-509 (1966)

Heuristic analysis of von Kries color constancy

James A. Worthey and Michael H. Brill
J. Opt. Soc. Am. A 3(10) 1708-1712 (1986)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (10)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (16)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.