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Enhancing Dictionary Based Preprocessing for Better Text Compression

机译:增强基于字典的预处理以实现更好的文本压缩

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With the rapid growing of data and number of applications, there is a crucial need of dictionary based reversible transformation techniques to increase the efficiency of the compression algorithms and hence contribute towards the enhancement in compression ratio. Performance analysis of compression methods in combination with the various transformation techniques is obtained for different text files of varying sizes. The popular block sorting lossless Burrows Wheeler Compression Algorithm (BWCA) is implemented along with one proposed method. For efficient compression a dictionary based transformation algorithm is also developed. It is observed that much increase in terms of compression ratio is attained when a source file is preprocessed with dictionary and then applied to BWCA and the proposed method.
机译:随着数据和应用数量的快速增长,迫切需要基于字典的可逆转换技术来提高压缩算法的效率,从而有助于提高压缩率。针对不同大小的不同文本文件,获得了结合各种转换技术的压缩方法的性能分析。与一种提出的方​​法一起实现了流行的块排序无损Burrows Wheeler压缩算法(BWCA)。为了有效压缩,还开发了基于字典的变换算法。可以看到,当使用字典对源文件进行预处理,然后将其应用于BWCA和所提出的方法时,压缩率将大大提高。

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