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Proceedings Paper

Automatic-target-recognition-assisted image coding
Author(s): Lei Ma; Min-Ahn Q. Vong; Glen P. Abousleman; Jennie Si
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Paper Abstract

In this paper, we present an intelligent image compression system whereby regions of interest (ROI) and background information are coded independently of each other. We apply less compression (more bits) to regions of interest (targets), and more compression (fewer bits) to background data. This methodology preserves relevant features of targets for further analysis, and preserves the background only to the extent of providing contextual information. The resulting system dramatically reduces the bandwidth/storage requirements of the digital imagery, while preserving the target-specific utility of the imagery.

Paper Details

Date Published: 25 July 2002
PDF: 11 pages
Proc. SPIE 4726, Automatic Target Recognition XII, (25 July 2002); doi: 10.1117/12.477027
Show Author Affiliations
Lei Ma, Arizona State Univ. (United States)
Min-Ahn Q. Vong, Arizona State Univ. (United States)
Glen P. Abousleman, General Dynamics Decision System (United States)
Jennie Si, Arizona State Univ. (United States)

Published in SPIE Proceedings Vol. 4726:
Automatic Target Recognition XII
Firooz A. Sadjadi, Editor(s)

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