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Proceedings Paper

Effect of image bit depth on target acquisition modeling
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Paper Abstract

The impact of bit depth on human in the loop recognition and identification performance is of particular importance when considering trade-offs between resolution and band-width of sensor systems. This paper presents the results from two perception studies designed to measure the effects of quantization and finite bit depth on target acquisition performance. The results in this paper allow for the inclusion of limited bit depth and quantization as an additional noise term in NVESD sensor performance models.

Paper Details

Date Published: 15 April 2008
PDF: 7 pages
Proc. SPIE 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX, 69410F (15 April 2008); doi: 10.1117/12.779191
Show Author Affiliations
Brian P. Teaney, U.S. Army RDECOM CERDEC Night Vision and Electronic Sensors Directorate (United States)
Joseph P. Reynolds, U.S. Army RDECOM CERDEC Night Vision and Electronic Sensors Directorate (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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