Back to articles
Volume: 17 | Article ID: art00028
Spectral Imaging Model by XYZ+K Four-Band Filter
  DOI :  10.2352/CIC.2009.17.1.art00028  Published OnlineJanuary 2009

Spectral imaging has advanced to reproduce the real colors under different illuminants. Since the high-precision spectral camera is expensive, multi-band cameras with 6∼16 channels have been widely used. On the other hand, human vision is basically tri-chromatic and perceives a color based on metamerism. According to matrix-R theory, any spectral input C is decomposed into fundamental C* and metameric black B. Human vision perceives the fundamental C* as visible component but bypasses the metameric black B as invisible component. On the conditional color matching under a fixed illuminant, we need only the fundamental. However both of fundamental and metameric black are necessary under the different illuminants, because the objective spectrum C=C*+B changes with the illuminant. This paper proposes a new spectral sensing model with XYZ+K four-band filters. The additional filter K is designed to rescue the “metameric black” and restores the spectral reflectance in combination with “fundamental” captured by XYZ colorimetric tri-color filters. The paper clarifies the mathematical design concept for the spectral sensitivity curve of filter K based on matrix-R theory and shows how the proposed XYZ+K sensing model works well when applied to the parametric or non-parametric spectral estimators keeping with the colorimetric color reproduction. The paper also introduces a simulation on spectral image restoration under the different illuminants.

Subject Areas :
Views 3
Downloads 0
 articleview.views 3
 articleview.downloads 0
  Cite this article 

Hiroaki Kotera, "Spectral Imaging Model by XYZ+K Four-Band Filterin Proc. IS&T 17th Color and Imaging Conf.,  2009,  pp 149 - 154,

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2009
Color and Imaging Conference
color imaging conf
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA