IMAGE COMPRESSION PREPROCESSING USING A NOVEL DICTIONARY BASED LOSSLESS REVERSIBLE TRANSFORMATION ALGORITHM

ABSTRACT- Data compression is one of the empowering advances for each of these parts of the media transformation. It would not be functional to put images, not to mention sound and video, on sites in the event that it was not for Data compression algorithms. We proposed a novel word reference-based lossless reversible transformation algorithm, Enhanced Transformation with Numerical Index. We have taken Length Index Preserving Transformation (LIPT) as our base work and killed some of its drawbacks. In this manner, the overhead required in lexicon administering and upkeep of each of these word references is wiped out. In any case, this increase is acknowledged with the extra cost for looking at the word in the lexicon. This mishap is additionally managed by actualizing word reference as a table which is a swap for the double inquiry trees utilized by LIPT. In spite of the fact that the paired hunt tree used to look the words in the lexicon is space proficient, the inquiry expense is very high. Henceforth the pay in time and cost variables is accomplished with productivity by the table usage of the word reference. By the utilization of essential key, supreme disposal of duplication of words and swifter hunt of words is achieved.