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Automatic Target Recognition Directed Image Compression

Authors: Charles D. Creusere; Alan Van Nevel;

Automatic Target Recognition Directed Image Compression

Abstract

Abstract : In this paper, we present a novel synthesis of two separate aspects of image processing: automatic target recognition/cueing (ATR/ATC) and embedded image compressian. In order to maximize the information content of a transmitted image, an ATR algorithm is used to detect potential areas of interest, and the compression algorithm regionally compresses the image, allocating more bits to the areas of interest. In this fashion, contextual information is retained, albeit at a lower resolution. Examples of the hybrid algorithm are presented.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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