title: Linear models of surface and illuminant spectra.
abstract: We describe procedures for creating efficient spectral representations for color. The representations generalize conventional tristimulus representations, which are based on the peripheral encoding by the human eye. We use low-dimensional linear models to approximate the spectral properties of surfaces and illuminants with respect to a collection of sensing devices. We choose the linear-model basis functions by minimizing the error in approximating sensor responses for collections of surfaces and illuminants. These linear models offer some conceptual simplifications for applications such as printer calibration; they also perform substantially better than principal-components approximations for computer-graphics applications.
authors.affiliation: Xerox Palo Alto Research Center, California 94304.
authors.forename: D H
authors.initials: DH
authors.lastname: Marimont
authors.forename: B A
authors.initials: BA
authors.lastname: Wandell
mesh_terms: D000465:Algorithms; D003196:Computer Graphics; D008027:Light; D016014:Linear Models; D013053:Spectrophotometry