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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/101446

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/101446

    Title: An Image Compression Method Based on Block Truncation Coding and Linear Regression
    Authors: CHang;, Wan-Li Lyu;Wan-Li Lyu;張真誠;Chin-Chen
    Contributors: 資訊工程學系
    Date: 2016-01
    Issue Date: 2016-09-20 11:43:38 (UTC+8)
    Abstract: This paper describes an image compression method based on block truncation
    coding (BTC) and linear regression coding (LRC) hybrid strategy. BTC is simple
    and easy to use, but only two representative values can not adequately represent the visual
    feature of image blocks. However, LRC can obtain different values of points with the
    line function by recording the coefficient of the regression line while the data distribution
    shows a linear relationship. The proposed method designs a hybrid strategy to combine
    the advantages of the two methods to improve image quality. In the paper, first, models
    are designed to rearrange the data of image blocks to satisfy a linear distribution, and
    then these models are used to code the image blocks. The experimental results indicated
    that the proposed method is superior to the BTC scheme in terms of image quality, and
    it can be used for image compression applications.
    Relation: Journal of Information Hiding and Multimedia Signal Processing
    Appears in Collections:[資訊工程學系] 期刊論文

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