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.
© 1992 Optical Society of America
Original Manuscript: February 11, 1992
Revised Manuscript: June 11, 1992
Manuscript Accepted: April 15, 1992
Published: November 1, 1992
David H. Marimont and Brian A. Wandell, "Linear models of surface and illuminant spectra," J. Opt. Soc. Am. A 9, 1905-1913 (1992)