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    Please use this identifier to cite or link to this item: http://ir.nknu.edu.tw/ir/handle/987654321/24099


    題名: Data Compression on Multifont Chinese Character Patterns
    Authors: 郭家旭
    Chia-Hsu Kuo;M. K. Tsay;R. H. Ju;M. K. Chiu
    貢獻者: 軟體工程學系
    Keywords: Character generation;Councils;Data compression;Decorrelation;Digital arithmetic;Image coding;Memory;Printers;Printing;Statistics
    Date: 1994-03
    Issue Date: 2015-05-19 15:16:40 (UTC+8)
    Abstract: The problems arising in the modeling and coding of digital Chinese character patterns for noiseless compression purposes are discussed. The modeling is intended to capture the maximum redundancies of the source under the consideration of relevant parameters. In this study, a redundancy-gathering algorithm is proposed in which a 2-D parsing tree is used, and the nodes to extend the tree are ranked according to the maximum redundancy gathered. Hence, the modeling represented by the tree can achieve great performance in the small number of nodes. The algorithm is then applied to evaluate the performance of arithmetic coding for digital Chinese character patterns. The results are compared to those of the traditional compression methods. In the same complexity, the authors find that their algorithm can improve the coding efficiency as high as 25.54%, 30.23%, 32.17%, 15.90%, and 27.58%, for five Chinese fonts, respectively
    關聯: IEEE Transactions on Image Processing / vol. 3, no. 2, pp. 139-146, DOI:10.1109/83.277896
    Appears in Collections:[軟體工程與管理學系] 期刊論文
    [軟工系] 郭家旭

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