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ANALYSIS OF LOSSLESS REVERSIBLE TRANSFORMATION ALGORITHMS TO ENHANCE DATA COMPRESSION

P. Jeyanthi, V. Anuratha

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. Pre-processing cope up with these properties by applying a number of transformations that make the redundancy “more visible” to the compressor. Many pre-processing 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