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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/6473


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/6473


    Title: VQ Codebook Searching Algorithm Based on Correlation Property
    Authors: Chang, C. C.;Lu, T. C.;Ya, J. B.
    Keywords: Vector quantization;locally adaptive approach;search-ordering coding;codebook matching
    Date: 2007-01
    Issue Date: 2009-12-17 14:58:09 (UTC+8)
    Publisher: Asia University
    Abstract: In this paper, we shall present two efficient codebook-matching schemes with a locally adaptive vector quantizer (LAVQ) and a search-ordering coding vector quantizer (SOCVQ) to be applied in the Vector Quantization (VQ) encoding system. The proposed codebook-matching schemes exploit the correlation property between adjacent image blocks so that the process of codebook matching can be speed up. Simulation results show that the time complexity of the proposed schemes is lower than those of PCA, Multipath TSVQ, and DPTSVQ. Moreover, the image quality of the proposed methods is close to those processed by the other methods.
    Relation: Fundamenta Informaticae 76(1-2): 39-57
    Appears in Collections:[資訊工程學系] 期刊論文

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