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Proceedings Paper

A subspace matching color filter design methodology for a multispectral imaging system
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Paper Abstract

Attaching filters to an imaging system will modify the way it captures a color stimulus. In this paper, we develop a methodology to design filters to improve the accuracy of the measurements for families of reflective surfaces. We derive the necessary and sufficient conditions that the sensor space of the system must obey in order to measure the spectral reflectance of the surfaces accurately. These conditions are applied in our filter design method. We also compare our results to those of Wolski’s, a conventional filter design method that attempts to make the system work colorimetrically. We show that our method produces filters that capture the spectral reflectance better given the same number of measurements.

Paper Details

Date Published: 18 December 2003
PDF: 12 pages
Proc. SPIE 5293, Color Imaging IX: Processing, Hardcopy, and Applications, (18 December 2003); doi: 10.1117/12.530394
Show Author Affiliations
Du-Yong Ng, Purdue Univ. (United States)
Jan P. Allebach, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 5293:
Color Imaging IX: Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu, Editor(s)

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