This paper proposes an algorithm for recovering the colors of objects from multiple near-infrared
(near-IR) images. The International Commission on Illumination (CIE) color coordinates of objects are
recovered from a series of gray images captured under multiple spectral near-IR illuminations using
polynomial regression. The feasibility of the proposed algorithm is tested experimentally by using 24 color
patches of the Color Rendition Chart. The experimental apparatus is composed of a monochrome digital
camera without an IR cut-off filter and a custom-designed LED illuminator emitting multiple spectral
near-IR illuminations, with peak wavelengths near the red edge of the visible band, namely at 700, 740,
780, and 860 nm. The average color difference between the original and the recovered colors for all
24 patches was found to be 11.1. However, if some particular patches with high value are disregarded,
the average color difference is reduced to 4.2, and this value is within the acceptability tolerance for
complex image on the display.
© 2015 Optical Society of Korea
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