
Proceedings Paper
An LED-based lighting system for acquiring multispectral scenesFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
The availability of multispectral scene data makes it possible to simulate a complete imaging pipeline for digital
cameras, beginning with a physically accurate radiometric description of the original scene followed by optical
transformations to irradiance signals, models for sensor transduction, and image processing for display. Certain scenes
with animate subjects, e.g., humans, pets, etc., are of particular interest to consumer camera manufacturers because of
their ubiquity in common images, and the importance of maintaining colorimetric fidelity for skin. Typical multispectral
acquisition methods rely on techniques that use multiple acquisitions of a scene with a number of different optical filters
or illuminants. Such schemes require long acquisition times and are best suited for static scenes. In scenes where animate
objects are present, movement leads to problems with registration and methods with shorter acquisition times are
needed. To address the need for shorter image acquisition times, we developed a multispectral imaging system that
captures multiple acquisitions during a rapid sequence of differently colored LED lights. In this paper, we describe the
design of the LED-based lighting system and report results of our experiments capturing scenes with human subjects.
Paper Details
Date Published: 24 January 2012
PDF: 8 pages
Proc. SPIE 8299, Digital Photography VIII, 82990P (24 January 2012); doi: 10.1117/12.912513
Published in SPIE Proceedings Vol. 8299:
Digital Photography VIII
Sebastiano Battiato; Brian G. Rodricks; Nitin Sampat; Francisco H. Imai; Feng Xiao, Editor(s)
PDF: 8 pages
Proc. SPIE 8299, Digital Photography VIII, 82990P (24 January 2012); doi: 10.1117/12.912513
Show Author Affiliations
Manu Parmar, Qualcomm MEMS Technologies (United States)
Steven Lansel, Stanford Univ. (United States)
Steven Lansel, Stanford Univ. (United States)
Joyce Farrell, Stanford Univ. (United States)
Published in SPIE Proceedings Vol. 8299:
Digital Photography VIII
Sebastiano Battiato; Brian G. Rodricks; Nitin Sampat; Francisco H. Imai; Feng Xiao, Editor(s)
© SPIE. Terms of Use
