We present an implementation of vector quantization for use in the coding of image data. The implementation is based on the frequency sensitive competitive learning (FSCL) variant of the competitive learning neural network algorithm. Previous work has shown that this neural network provides a large computational advantage over existing methods such as the Linde, Buzo, and Gray (LBG) algorithm for small codebook sizes. However, for large codebooks which are necessary for good performance, the neural network implementation requires an excessive amount of training. We work to correct this deficiency by applying the classification vector quantization technique to the neural network implementation of the vector quantizer. In this manner we can separate the problem into the generation of codebooks for each of the two categories into which the data is divided. By appropriately choosing the categories we can vastly simplify the training process and thus substantially reduce the computational costs while improving the subjective performance.<>


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Classification vector quantization of image data using competitive learning


    Beteiligte:
    Watkins, B.E. (Autor:in) / Tummala, M. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    404597 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Classification Vector Quantization of Image Data using Competitive Learning

    Watkins, B. E. / Tummala, M. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    Image scalability using wavelet vector quantization

    Panchanathan, S. / Gamaz, N. / Jain, A. | British Library Online Contents | 1996


    Image compression using transformed vector quantization

    Li, R. Y. / Kim, J. / Al-Shamakhi, N. | British Library Online Contents | 2002


    Image Compression Using Fast Transformed Vector Quantization

    Li, R. / Kim, J. | British Library Conference Proceedings | 2000


    Image and video indexing using vector quantization

    Idris, F. / Panchanathan, S. | British Library Online Contents | 1997