%0 Journal Article
%T Analysis of Lossless Reversible Transformation Algorithms to Enhance Data Compression
%A Jeyanthi Perumal
%A Anuratha Vinodkumar
%J Journal of Global Research in Computer Science
%D 2012
%I Journal of Global Research in Computer Science
%X In this paper we analyze and present the benefits offered in the lossless compression by applying a choice of preprocessing methods that exploits the advantage of redundancy of the source file. Textual data holds a number of properties that can be taken into account in order to improve compression. Preprocessing cope up with these properties by applying a number of transformations that make the redundancy ˇ°more visibleˇ± to the compressor. Many preprocessing algorithms come into being for text files which complement each other and are performed prior to actual compression. Here our focus is on the Length-Index Preserving Transform (LIPT), its derivatives ILPT, NIT & LIT and StarNT Transformation algorithm. The algorithms are briefly presented before calling attention to their analysis.
%U http://www.jgrcs.info/index.php/jgrcs/article/view/480