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.


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    Title :

    Intelligent Bandwidth Compression


    Contributors:
    Tseng, D. Y. (author) / Bullock, B. L. (author) / Olin, K. E. (author) / Kandt, R. K. (author) / Olsen, J. D. (author)

    Conference:

    Image Understanding Systems II ; 1979 ; San Diego,United States


    Published in:

    Publication date :

    1980-02-21





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





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