Analisis Performa Rasio Kompresi Pada Metode Differensiasi ASCII Dan Lempel Ziv Welch (LZW)

Tommy Tommy, Rosyidah Siregar, A. Husein, M. Harahap, Ferdy Riza
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Abstract

ASCII differentiation is a compression method that utilizes the difference value or the difference between the bytes contained in the input character. Technically, the ASCII differentiation method can be done using a coding dictionary or using windowing block instead of the coding dictionary. Previous research that has been carried out shows that the ASCII differentiation compression ratio is good enough but still needs to be analyzed on performance from the perspective of the compression ratio of the method compared to other methods that have been widely used today. In this study an analysis of the comparison of the ASCII Difference method with other compression methods such as LZW will be carried out. The selection of LZW itself is done by reason of the number of data compression applications that use the method so that it can be the right benchmark. Comparison of the compression ratio performed shows the results of ASCII differentiation have advantages compared to LZW, especially in small input characters. Whereas in large input characters, LZW can optimize the probability of pairs of characters that appear compared to ASCII differentiation which is glued to the difference values ​​in each block of input characters so that in large size characters LZW has a greater compression ratio compared to ASCII differentiation.
分析ASCII和lemv Ziv的压缩比的性能
ASCII差分是一种利用输入字符中包含的字节之间的差值或差值的压缩方法。从技术上讲,ASCII差分方法可以使用编码字典或使用窗口块代替编码字典来完成。以往的研究表明,ASCII差分压缩比已经足够好,但与目前广泛使用的其他方法相比,还需要从压缩比的角度对该方法的性能进行分析。在本研究中,将对ASCII差分方法与LZW等其他压缩方法进行比较分析。LZW本身的选择取决于使用该方法的数据压缩应用程序的数量,因此它可能是正确的基准。通过对压缩比的比较,可以看出ASCII差分的结果比LZW有优势,特别是在小输入字符方面。而在大的输入字符中,LZW可以优化与ASCII差分相比出现的字符对的概率,ASCII差分与每个输入字符块中的差分值粘在一起,因此在大的字符中,LZW与ASCII差分相比具有更大的压缩比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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