Color linear model

Abstract

In this paper, procedures for creating an effective linear model to represent surface spectra are presented. The model is derived by considering spectral data and the human visual characteristic that depends on wave lengths. Two human visual weighting functions (HVWF) are derived from human visual characteristic. The basis functions of the linear model for the surface reflectance are selected by minimizing least square error in approximating the spectral data weighted by the HVWF. The linear model is shown to perform better than conventional linear models for color constancy, the surface identification related to object recognition, and the characterization of a scanner and a camera.