Study on Data Compression Technique

In this current age both communication and generic file compression technologies are using different kind of efficient data compression methods massively. This paper surveys a variety of data compression methods. The aim of data compression is to reduce redundancy in stored or communicated data. Data compression has important application in the area of file storage and distributed system. This paper will provide an overview of several compression methods and will formulate new algorithms that may improve compression ratio and abate error in the reconstructed data. In this work the data compression techniques: Huffman, RunLength, LZW, Shannon-Fano, Repeated-Huffman, RunLength-Huffman, and Huffman-Run-Length are tested against different types of multimedia formats such as images and text, which shows the difference of various data compression methods on image and text file.