In this paper we present an adaptive discrete wavelet transform image coding scheme. The main contribution of the work is in developing a simple classification procedure which is used to classify the subband blocks into a finite number of classes. The classified subband blocks are subsequently encoded. The low frequency band is encoded by means of a 2-D DCT using entropy-coded trellis coded quantization (ECTCQ); other bands are directly encoded using ECTCQ. The peak signal-to-noise ratio results of the proposed adaptive system are 0.4-1.0 dB superior to those of its non-adaptive counterpart.<>


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    Titel :

    Adaptive image coding based on the discrete wavelet transform


    Beteiligte:
    Jafarkhani, H. (Autor:in) / Farvardin, N. (Autor:in) / Lee, C.-C. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    467584 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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