抽象的

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