The color constancy problem, that is, estimating the color of the scene illuminant from a set
of image data recorded under an unknown light, is an important problem in computer vision …

The requirement that the sensor responses of a camera to a given surface reflectance be
constant under changing illumination conditions has led to the development of the so called …

In his paper we introduce two improvements to the threedimensional gamut mapping
approach to computational colour constancy. This approach consist of two separate parts …

The light recorded by a camera is a function of the scene illumination, the reflective
characteristics of the objects in the scene, and the camera sensors. The goal of color …

Gamut mapping colour constancy attempts to determine the set of diagonal matrices taking
the gamut of image colours under an unknown illuminant into the gamut of colours observed …

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 …

This paper presents a novel solution to the illuminant estimation problem: the problem of
how, given an image of a scene taken under an unknown illuminant, we can recover an …

The gamut mapping algorithm is one of the most promising methods to achieve
computational color constancy. However, so far, gamut mapping algorithms are restricted to …

Gamut mapping colour constancy algorithms attempt to map image RGBs captured under an
unknown light to corresponding RGBs under a reference light so as to render images colour …

Gamut mapping deals with the need to adjust a color image to fit into the constrained color
gamut of a given rendering medium. A typical use for this tool is the reproduction of a color …