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Proceedings Paper

Effects of image compression on sensor performance
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Paper Abstract

As the number of fielded sensors increases, together with increasing sensor format size, and more spectral bands, the amount of sensor information available is rapidly multiplying. Additionally, sensors are increasingly being implemented in sensor networks with wired or wireless exchange of information. To handle the increasing load of data, often with limited network bandwidth resources, both still and moving imagery can be highly compressed, resulting in a 50 to 100 fold (or more) decrease in required network bandwidth. However, such high levels of compression are not error-free, and the resulting images contain artifacts that may adversely affect the ability of observers to detect or identify targets of interest. This paper attempts to quantify the effect of image compression in its impact on observer tasks such as target identification. We will address multiple typically-used compression algorithms, at varying degrees of high compression, in a series of controlled perception experiments to isolate the effects and quantify the impact on observer tasking. Recommendations will be made on how to incorporate performance degradation caused by image compression with other sensor design factors in designing a remote sensor with compressed imagery.

Paper Details

Date Published: 15 May 2006
PDF: 10 pages
Proc. SPIE 6207, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVII, 62070B (15 May 2006); doi: 10.1117/12.666620
Show Author Affiliations
Patrick D. O'Shea, U.S. Army RDECOM CERDEC Night Vision and Electronic Sensors Directorate (United States)
Eddie L. Jacobs, U.S. Army RDECOM CERDEC Night Vision and Electronic Sensors Directorate (United States)


Published in SPIE Proceedings Vol. 6207:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVII
Gerald C. Holst, Editor(s)

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