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Proceedings Paper

Relative color delineation testing of visible camera systems
Author(s): Jason A. Mazzetta; Stephen D. Scopatz; Fred A. Ennerson
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Paper Abstract

The human eye has the ability to distinguish millions of colors. Employing this attribute along with cognitive spatial cues a human being can differentiate between even the slightest color variations. The goal of any imager is to collect the maximum amount of information from a scene, both spatially and spectrally. Whether it is used for artistic reproduction or camouflage detection, a camera has the same ultimate specifications. While much sensor research and development has been conducted to improve both spatial and intensity resolution, less effort has been directed to color contrast delineation. This specification is not only difficult to define but complex to test. Most color testing is confined to print or display technology and is supported by a myriad of test equipment and standards. Typical camera color calibration may rely on color standards with defined illuminants but is ineffective in contrast resolution definition. This paper will discuss hardware and software developed by the authors that is utilized to project precise dual color controlled images to determine the color contrast resolution of an imager. Algorithmic challenges related to human-perceived versus machine-created color in conjunction with real-time color feedback loops will be addressed. Design issues including system stability, color resolution, channel matching, and target registration will also be discussed. Calibration routines and verification will be presented along with example results of the complete system.

Paper Details

Date Published: 15 April 2008
PDF: 12 pages
Proc. SPIE 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX, 694116 (15 April 2008); doi: 10.1117/12.780692
Show Author Affiliations
Jason A. Mazzetta, Electro Optical Industries, Inc. (United States)
Stephen D. Scopatz, Electro Optical Industries, Inc. (United States)
Fred A. Ennerson, Electro Optical Industries, Inc. (United States)

Published in SPIE Proceedings Vol. 6941:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX
Gerald C. Holst, Editor(s)

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