A Comparative Study Of Text Compression Algorithms
Senthil Shanmugasundaram, Robert Lourdusamy · 2011
Data Compression is the science and art of representing information in a compact form. For decades, Data compression has been one of the critical enabling technologies for the ongoing digital multimedia revolution. There are lot of data compression algorithms which are available to compress files of different formats. This paper provides a survey of different basic lossless data compression algorithms. Experimental results and comparisons of the lossless compression algorithms using Statistical compression techniques and Dictionary based compression techniques were performed on text data. Among the statistical coding techniques the algorithms such as Shannon-Fano Coding, Huffman coding, Adaptive Huffman coding, Run Length Encoding and Arithmetic coding are considered. Lempel Ziv scheme which is a dictionary based technique is divided into two families: those derived from LZ77 (LZ77, LZSS, LZH and LZB) and those derived from LZ78 (LZ78, LZW and LZFG). A set of interesting conclusions are derived on their basis.