15 April 2008 Relative color delineation testing of visible camera systems
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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.
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Jason A. Mazzetta, Stephen D. Scopatz, Fred A. Ennerson, "Relative color delineation testing of visible camera systems", Proc. SPIE 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX, 694116 (15 April 2008); doi: 10.1117/12.780692; https://doi.org/10.1117/12.780692
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