title: A spectral theory of color perception.
abstract: The paper adopts the philosophical stance that colors are real and can be identified with spectral models based on the photoreceptor signals. A statistical setting represents spectral profiles as probability density functions. This permits the use of analytic tools from the field of information geometry to determine a new kind of color space and structure deriving therefrom. In particular, the metric of the color space is shown to be the Fisher information matrix. A maximum entropy technique for spectral modeling is proposed that takes into account measurement noise. Theoretical predictions provided by our approach are compared with empirical colorfulness and color similarity data.
authors: Centre for Intelligent Machines, McGill University, 3480 University Street, Montreal, Quebec, Canada. clark@cim.mcgill.ca
authors: James J
authors: JJ
authors: Clark
authors: Sandra
authors: S
authors: Skaff