A Review on Various Lossless Text Data Compression Techniques

Compression algorithms reduce the redundancy in data representation thus increasing effective data density. Data compression is a very useful technique that helps in reducing the size of text data and storing the same amount of data in relatively fewer bits resulting in reducing the data storage space, resource usage or transmission capacity. There are a number of techniques that have been used for text data compression which can be categorized as Lossy and Lossless data compression techniques. In this paper, various lossless data compression techniques have been reviewed that are in use such as Run Length Encoding, Burrows- wheeler transform, Shannon-Fano coding, Huffman coding, Arithmetic coding, Lempel-Ziv Welch and Bit-Reduction algorithm.