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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/2042


    Title: Innovative Decomposition for Progressive Image Transmission
    Authors: TIMOTHY K. SHIH;RONG-CHI CHANG
    Contributors: Department of Computer Science and Information Engineering, Tamkang University
    Keywords: progressive image transmission;bit plane method;pixel interpolation;image coding;network applications
    Date: 2006-07
    Issue Date: 2009-10-13 14:57:16 (UTC+8)
    Publisher: Asia University
    Abstract: Progressive image transmission (PIT) transmits the most significant portion of a picture, followed
    by its less important portions. The mechanism can be used in Web-based applications while users are
    browsing images. However, most PIT methods use the same pixel interpolation scheme for the entire
    picture, without considering the differences among image blocks. This paper analyzes the efficiency of
    pixel interpolation schemes and tests several decomposition mechanisms. The contribution results in an
    adaptive image transmission scheme, which takes the differences of picture portions into consideration.
    This study tested 1500 pictures in different categories and parameters. In consequence, the overall bit
    rates can be reduced significantly with good PSNR values and user satisfaction. The visual result is
    superior to progressive JPEG on both objective (quantitative) and subjective (human) measures. An
    error recovery procedure is also implemented in case that the transmitted pictures need to be fully
    recovered.
    Relation: Asian Journal of Health and Information Sciences 1(2):204-227
    Appears in Collections:[Asian Journal of Health and Information Sciences] v.1 n.2

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