The robustness of image and video compression in the presence of time-varying channel error has received increased interest with the emergence of portable digital receivers and computers. To achieve robust compression, pyramid vector quantization (PVQ) can be used. It is a fixed-rate quantization scheme suited to Laplacian-like sources, such as those arising from transform and subband image coding. The authors propose a new method of PVQ which not only improves upon the image compression performance of typical JPEG implementations, but also demonstrates excellent resilience to channel error.<>


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    Title :

    Error resilient pyramid vector quantization for image compression


    Contributors:
    Hung, A.C. (author) / Meng, T.H.-Y. (author)


    Publication date :

    1994-01-01


    Size :

    441557 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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