Comparative Study of Data Compression Techniques

Authors

  • Supriya Gabhane  Department of Electronics & Telecommunication, S. B. Jain Institute of Technology Management & Research, RTMNU, Nagpur, Maharashtra, India
  • Songa Bhattacharyya  Department of Electronics & Telecommunication, S. B. Jain Institute of Technology Management & Research, RTMNU, Nagpur, Maharashtra, India
  • Snehalata Shende  Department of Electronics & Telecommunication, S. B. Jain Institute of Technology Management & Research, RTMNU, Nagpur, Maharashtra, India

Keywords:

Lossless Data Compression, Huffman Coding, L-Z W, Shannon- Fano Coding.

Abstract

Source Coding is used to reduce the redundancy for transmission of data. This leads to need for ‘data compression’ that is, which requires less storage with high transfer rate .Thus the cost of storage hardware and bandwidth decreases. The paper deals with the number of data compression techniques named Huffman Coding, LZ coding and Shannon-Fano Coding and these coding are used for lossless data compression. Lossless data compression techniques regenerate the original data from the compressed file. The paper provides a detail survey and comparison of the different lossless data compression techniques.

References

  1. Dr.Sanjay Sharma, “Information Theory in the Communication Systems(Analog and Digital) book” published by S.K. Kataria & Sons ,New Delhi.
  2. K.A Ramya and M. Pushpa. 2016. International Journal of Scientific Engineering and applied science (IJSEAS) – Volume-2, Issue-1,January 2016.ISSN: 2395-3470.

International Journal of Scientific Research in Science and Technology

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Published

2017-02-28

Issue

Volume 3, Issue 2, January-February-2017

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Supriya Gabhane, Songa Bhattacharyya, Snehalata Shende, " Comparative Study of Data Compression Techniques, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 2, pp.159-162, January-February-2017.