Simple constraints on the sets of possible surface reflectance and illuminants are exploited
in a new color constancy algorithm that builds upon Forsyth's (1990) theory of color …

We present an algorithm which uses information from both surface reflectance and
illumination variation to solve for color constancy. Most color constancy algorithms assume …

We introduce a context for testing computational color constancy, specify our approach to
the implementation of a number of the leading algorithms, and report the results of three …

A well-known color constancy method is based on the Grey-World assumption ie the
average reflectance of surfaces in the world is achromatic. In this article we propose a new …

Color constancy is the skill by which it is possible to tell the color of an object even under a
colored light. I interpret the color of an object as its color under a fixed canonical light, rather …

This article addresses the problem of colour constancy: how a visual system is able to
ensure that the colours it perceives remain stable, regardless of the prevailing scene …

The paper considers the problem of illuminant estimation: how, given an image of a scene,
recorded under an unknown light, we can recover an estimate of that light. Obtaining such …

We show how to achieve better illumination estimates for color constancy by combining the
results of several existing algorithms. We consider committee methods based on both linear …

Color constancy is the ability to measure colors of objects independent of the color of the
light source. A well-known color constancy method is based on the gray-world assumption …

For pt. I see ibid., vol. 11, no. 9, p. 972-84 (2002). We test a number of the leading
computational color constancy algorithms using a comprehensive set of images. These were …