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无损压缩算法LZW前缀编码优化及应用

鄢海舟 胥布工 石东江 郑伟德

计算机工程2017,Vol.43Issue(3):299-303,5.
计算机工程2017,Vol.43Issue(3):299-303,5.DOI:10.3969/j.issn.1000-3428.2017.03.050

无损压缩算法LZW前缀编码优化及应用

Prefix Encoding Optimization and Application of Lossless Compression Algorithm LZW

鄢海舟 1胥布工 1石东江 2郑伟德3

作者信息

  • 1. 华南理工大学 自动化科学与工程学院,广州 510641
  • 2. 华能国际电力股份有限公司湖南分公司,长沙 410002
  • 3. 华能湖南岳阳发电有限责任公司,湖南 岳阳 414002
  • 折叠

摘要

Abstract

LZW algorithm can not make full use of the length of dictionary for prefix encoding when compressing data and has redundancy.When considering the length of the dictionary is l,the prefix can be located within [0,l-1] only,and the LZW algorithm uses [lbl]bit to encode the prefix.Therefore,the data of the interval [l,2[lbl]-1] is not fully used.Aiming at this problem,this paper proposes an improved compression algorithm of prefix mapping encoding.It does not encode and output the prefix which meets the condition,but maps it to the interval [l,2[lbl]-1].In this case,the number of prefix encoding is not decreased but implies the information that the next prefix will be encoded with less bits.Compared with LZW agorithm,the improved algorithm has advantages that it does not increase the amount of calculation and memory space,and can be used more generally in data compression.The effectiveness of the improved algorithm is verified when tested with English text data in simulation experiments and applied into residual data compression.

关键词

LZW算法/前缀映射/编码/无损压缩/标志位/去冗余

Key words

LZW algorithm/prefix mapping/encoding/lossless compression/flags/redundancy elimination

分类

信息技术与安全科学

引用本文复制引用

鄢海舟,胥布工,石东江,郑伟德..无损压缩算法LZW前缀编码优化及应用[J].计算机工程,2017,43(3):299-303,5.

基金项目

国家自然科学基金-广东联合基金重点项目(U1401253). (U1401253)

计算机工程

OA北大核心CSCDCSTPCD

1000-3428

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