The feasibility of a 1000:1 bandwidth compression ratio for image transmission has been demonstrated using image-analysis algorithms and a rule-based controller. Such a high compression ratio was achieved by first analyzing scene content using auto-cueing and feature-extraction algorithms, and then transmitting only the pertinent information consistent with mission requirements. A rule-based controller directs the flow of analysis and performs priority allocations on the extracted scene content. The reconstructed bandwidth-compressed image consists of an edge map of the scene background, with primary and secondary target windows embedded in the edge map. The bandwidth-compressed images are updated at a basic rate of 1 frame per second, with the high-priority target window updated at 7.5 frames per second. The scene-analysis algorithms used in this system cogether with the adaptive priority controller are described. Results of simulated 1000:1 band-width-compressed images are presented.
Intelligent Bandwidth Compression
Image Understanding Systems II ; 1979 ; San Diego,United States
Proc. SPIE ; 0205
1980-02-21
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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