Automatic-target-recognition-assisted image coding

Lei Ma; Min-Ahn Q. Vong; Glen P. Abousleman; Jennie Si

doi:10.1117/12.477027

25 July 2002 Automatic-target-recognition-assisted image coding

Lei Ma, Min-Ahn Q. Vong, Glen P. Abousleman, Jennie Si

Proceedings Volume 4726, Automatic Target Recognition XII; (2002) https://doi.org/10.1117/12.477027
Event: AeroSense 2002, 2002, Orlando, FL, United States

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.

Citation Download Citation

Lei Ma, Min-Ahn Q. Vong, Glen P. Abousleman, and Jennie Si "Automatic-target-recognition-assisted image coding", Proc. SPIE 4726, Automatic Target Recognition XII, (25 July 2002); https://doi.org/10.1117/12.477027

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