Intelligent Bandwidth Compression

D. Y. Tseng; B. L. Bullock; K. E. Olin; R. K. Kandt; J. D. Olsen

doi:10.1117/12.958166

21 February 1980 Intelligent Bandwidth Compression

D. Y. Tseng, B. L. Bullock, K. E. Olin, R. K. Kandt, J. D. Olsen

Proceedings Volume 0205, Image Understanding Systems II; (1980) https://doi.org/10.1117/12.958166
Event: 23rd Annual Technical Symposium, 1979, San Diego, United States

Abstract

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.

Citation Download Citation

D. Y. Tseng, B. L. Bullock, K. E. Olin, R. K. Kandt, and J. D. Olsen "Intelligent Bandwidth Compression", Proc. SPIE 0205, Image Understanding Systems II, (21 February 1980); https://doi.org/10.1117/12.958166

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