On Determining the Color of the Illuminant Using the Dichromatic Reflection Model

Abstract

Abstract. The human visual system is able to accurately determine the color of objects irrespective of the spectral power distribution used to illuminate the scene. This ability to compute color constant descriptors is called color constancy. Many different algorithms have been proposed to solve the problem of color constancy. Usually, some assumptions have to be made in order to solve this problem. Algorithms based on the dichromatic reflection model assume that the light reflected from an object results from a combined matte and specular reflection. This assumption is used to estimate the color of the illuminant. Once the color of the illuminant is known, one can compute a color corrected image as it would appear under a canonical, i.e. white illuminant. A number of different methods can be used to estimate the illuminant from the dichromatic reflection model. We evaluate several different methods on a standard set of images. Our results indicate that the median operator is particularly useful in estimating the color of the illuminant. We also found that it is not advantageous to assume that the illuminant can be approximated by the curve of the black-body radiator.

Illumination Chromaticity Estimation Based on Dichromatic Reflection Model and Imperfect Segmentation

“…Finlayson and Schaefer [10] discussed the model to estimate the chromaticity of Planckian radiator-like illuminations, assuming the segmentation is perfect. Ebner and Herrmann [11] applied the model to image regions which have been segmented, and whose color saturation is high.…”

Color constancy based on local space average color

“…Some algorithms have also been based on the dichromatic reflection model (Tominaga, 1991;D'Zmura and Lennie, 1992;Finlayson and Schaefer, 2001;Risson, 2003;Ebner and Herrmann, 2005). In order to address the problem of color constancy, many authors assume that the illuminant is constant across the image.…”