| 基于静态串表的图像无损压缩编码方法 |
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| 引用本文： | 高健,宋奥,刘万,陈耀.基于静态串表的图像无损压缩编码方法[J].计算机应用,2011,31(6):1578-1580. |
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| 作者姓名： | 高健 宋奥 刘万 陈耀 |
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| 作者单位： | 上海大学 机电工程与自动化学院，上海 200072 |
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| 摘 要： | 结合前像素预测编码方法和Lempel-Ziv-Welch(LZW)编码思想并针对其对于变化频率较高的信号压缩效率较低的问题，提出了一种通过利用图像像素之间相关性构建静态串表对数字图像进行无损压缩的编码方法。通过对前向预测编码处理后的图像数据进行查表编码来实现图像无损压缩。实验结果表明该方法实现简单，压缩效率高于LZW算法和WinZIP算法。
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| 关 键 词： | 图像无损压缩编码 静态串表 预测编码 相关性 压缩效率 |
| 收稿时间： | 2010-12-02 |
| 修稿时间： | 2011-01-15 |
Lossless image compression coding method based on static dictionary |
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| GAO Jian,SONG Ao,LIU Wan,CHEN Yao.Lossless image compression coding method based on static dictionary[J].journal of Computer Applications,2011,31(6):1578-1580. |
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| Authors: | GAO Jian SONG Ao LIU Wan CHEN Yao |
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| Affiliation: | School of Mechatronic Engineering and Automation， Shanghai University, Shanghai 200072, China |
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| Abstract: | In combination with the thoughts of former pixel predictive coding method and Lempel-Ziv-Welch (LZW) coding, in order to tackle the problem of low efficiency on signal compression of signals with high changing frequency, a sort of lossless image compression coding method was proposed. In this method, the correlation between pixels of the picture was used to construct a static dictionary, and the image could be compressed losslessly by looking and coding the data which was formerly predictive coded. The experiment results show that the proposed method is easy to realize and achieves higher compression efficiency than LZW algorithm and WinZIP algorithm. |
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| Keywords: | image lossless coding method static dictionary predictive coding correlation compression efficiency |
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