Abstract

Human and machine visual sensing is enhanced when surface properties of objects in scenes, including color, can be reliably estimated despite changes in the ambient lighting conditions. We describe a computational method for estimating surface spectral reflectance when the spectral power distribution of the ambient light is not known.

© 1986 Optical Society of America

Evaluation of linear models of surface spectral reflectance with small numbers of parameters

Laurence T. Maloney
J. Opt. Soc. Am. A 3(10) 1673-1683 (1986)

Analysis of the retinex theory of color vision

David H. Brainard and Brian A. Wandell
J. Opt. Soc. Am. A 3(10) 1651-1661 (1986)

Bayesian color constancy

David H. Brainard and William T. Freeman
J. Opt. Soc. Am. A 14(7) 1393-1411 (1997)

Mechanisms of color constancy

M. D’Zmura and P. Lennie
J. Opt. Soc. Am. A 3(10) 1662-1672 (1986)

Color constancy. I. Basic theory of two-stage linear recovery of spectral descriptions for lights and surfaces

Michael D’Zmura and Geoffrey Iverson
J. Opt. Soc. Am. A 10(10) 2148-2165 (1993)