Separating a color signal into illumination and surface reflectancecomponents: theory and applications
Ho, J.
Funt, B.V.
Drew, M.S.
Sch. of Comput. Sci., Simon Fraser Univ., Vancouver, BC;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Oct 1990
Volume: 12,
Issue: 10
On page(s): 966-977
ISSN: 0162-8828
References Cited: 31
CODEN: ITPIDJ
INSPEC Accession Number: 3793045
Digital Object Identifier: 10.1109/34.58869
Current Version Published: 2002-08-06
Abstract
A separation algorithm for achieving color constancy and theorems
concerning its accuracy are presented. The algorithm requires extra
information, over and above the usual three values mapping human cone
responses, from the optical system. However, with this additional
information-specifically, a sampling across the visible range of the
reflected, color-signal spectrum impinging on the optical sensor-the
authors are able to separate the illumination spectrum from the surface
reflectance spectrum contained in the color-signal spectrum which is, of
course, the product of these two spectra. At the heart of the separation
algorithm is a general statistical method for finding the best
illumination and reflectance spectra, within a space represented by
finite-dimensional linear models of statistically typical spectra, whose
product closely corresponds to the spectrum of the actual color signal.
Using this method, the authors are able to increase the dimensionality
of the finite-dimensional linear model for surfaces to a realistic
value. One method of generating the spectral samples required for the
separation algorithm is to use the chromatic aberration effects of a
lens. An example of this is given. The accuracy achieved in a large
range of tests is detailed, and it is shown that agreement with actual
surface reflectance is excellent
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
