Analysis and Performance Comparison of Lossless Compression Techniques for Text Data

Authors

  • Koush Rastogi Kanchan Sengar 1M.Tech Scholar, JECRC University, Jaipur, India 2Assistant Professor, JECRC University, Jaipur, India

Abstract

For most of the computerized application used presently data. Compression is an essential requirement. Compression is the process which saves memory space by reducing the number of bits used to represent certain message. Different data compression techniques exist for compression of different data types. Data compression can be classified as lossless or lossy compression. Run Length Encoding, Huffman Coding, and Shannon Fano Coding techniques for lossless data compression are discussed in this paper. The article is concluded by doing a comparison of these techniques.

Key Word: Lossless compression, Lossy compression, Run Length Encoding, Huffman Coding, Shannon Fano Coding

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Published

2014-02-26

How to Cite

Kanchan Sengar, K. R. (2014). Analysis and Performance Comparison of Lossless Compression Techniques for Text Data. International Journal of Engineering Technology and Computer Research, 2(1). Retrieved from https://ijetcr.org/index.php/ijetcr/article/view/22

Issue

Vol. 2 No. 1 (2014)

Section

Articles

License

Creative Commons LicenseInternational Journal of Engineering Technology and Computer Research (IJETCR) by Articles is licensed under a Creative Commons Attribution 4.0 International License.