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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 資訊工程學系 > 期刊論文 >  Finite state residual vector quantizer for image coding

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/66483

    Title: Finite state residual vector quantizer for image coding
    Authors: Huang,Steve Shih-Yu;Wang,Jia-Shung
    教師: 王家祥
    Date: 2005
    Publisher: John Wiley & Sons
    Relation: International Journal of Imaging Systems and Technology,Volume 5,Issue 3,Pages 199-205,11 March 1994
    Keywords: Image coding
    Finite automata
    Vector quantization
    Image compression
    Image reconstruction
    Data storage equipment
    Correlation methods
    Conformal mapping
    Set theory
    Abstract: A new hybrid coding scheme called the finite state residual vector quantization (FSRVQ) proposed combines the advantages of both the finite state VQ and the mean/residual VQ. The codewords in FSRVQ were designed by removing the block means to reduce the codebook size. The block means were predicted by the neighboring blocks to reduce the bit rate. In addition, the predicted means were added to the residual vectors so that the state codebooks could be generated entirely. The performance of FSRVQ was indicated from experimental results to be better than both ordinary FSVQ and MRVQ.
    URI: http://www.wiley.com/
    Appears in Collections:[資訊工程學系] 期刊論文

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