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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/6537


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/6537


    Title: A Very Low Bit Rate Image Compressor Using Transformed Classified Vector Quantization
    Authors: Tseng, H. W. and Chang, C. C
    Keywords: Image compression;JPEG;DCT;DPCM;Classified vector quantization (CVQ);Quadtree
    Date: 2005-09
    Issue Date: 2009-12-17 14:58:31 (UTC+8)
    Publisher: Asia University
    Abstract: In this paper, a very low bit rate image compression scheme is proposed. This scheme is a hybrid
    method that combines the good energy-compaction property of DCT with the high compression ratio of
    VQ-based coding. We start by transforming image block from spatial domain to frequency domain using
    DCT. In order to increase the compression ratio while preserving decent reconstructed image quality,
    DC coefficients are coded by DPCM and only the most important AC coefficients are coded using
    classified vector quantization (CVQ). The most important AC coefficients are selected to train the
    codebook according to the energy packing region of different block classes. Also, this scheme can
    provide different compression ratios like JPEG does with the same codebooks. The experimental results
    show that the proposed scheme performs much better than JPEG at low bit rate.
    Relation: Informatica 29(3):335-341
    Appears in Collections:[資訊工程學系] 期刊論文

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