Wavelet image coding exhibits a robust error resilience performance by utilizing the naturally layered bitstream construction over a band-limited channel. In this paper, a closed form of the visual entropy is defined based on a visual weight over the wavelet domain, which is characterized by the HVS (human vision system) over the frequency and spatial domains. This visual weight is then utilized as a criterion for determining the coding order of wavelet coefficients and the resulting improved visual quality is demonstrated. In terms of visual entropy, a transmission gain of up to 20 % can be obtained at a normalized channel throughput of about 0.3.


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    Titel :

    Visual data rate gain for wavelet foveated image coding


    Beteiligte:
    Hyungkeuk Lee, (Autor:in) / Sanghoon Lee, (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    456452 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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