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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    Title :

    Adaptive image coding based on the discrete wavelet transform


    Contributors:
    Jafarkhani, H. (author) / Farvardin, N. (author) / Lee, C.-C. (author)


    Publication date :

    1994-01-01


    Size :

    467584 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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