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Lempel-Ziv-Welch Compression Algorithm with Exponential Decay

机译:具有指数衰减的Lempel-Ziv-Welch压缩算法

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摘要

This paper proposes an improvement over Lempel-Ziv-Welch (LZW) compression algorithm by employing a new method that uses exponential decay (ED) as a tool to manage and remove infrequently used entries in the LZW dictionary. The presented results demonstrate that ED may be an efficient tool to manage and refresh the LZW dictionary. The achieved compression ratio is higher than in the traditional methods like Dictionary Reset DR and Least Recently used LRU. The experimental results demonstrate that the dictionary refresh by the ED may provide higher compression ratio, compared with the original LZW algorithm. In order to investigate the benefits of ED method, it is compared with some other way of LRU-based enhancements. In particular, we consider a LRU-like LZW scheme with Huffman coding of difference from last used word.
机译:本文提出了一种对Lempel-Ziv-Welch(LZW)压缩算法的改进,它采用了一种新方法,该方法使用指数衰减(ED)作为工具来管理和删除LZW词典中不常用的条目。呈现的结果表明ED可能是管理和刷新LZW词典的有效工具。所实现的压缩率高于传统方法,例如Dictionary Reset DR(字典重设DR)和最近最少使用的LRU。实验结果表明,与原始的LZW算法相比,通过ED进行的字典刷新可以提供更高的压缩率。为了研究ED方法的好处,将其与基于LRU的其他增强方法进行了比较。特别地,我们考虑一种类似于LRU的LZW方案,其霍夫曼编码与上次使用的单词有所不同。

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