A Review on Different Types of Lossless Data Compression Techniques

Author:

Gupta Anshul1,Nigam Sumit2

Affiliation:

1. M. Tech Scholar, Department of Information Technology, SVIIT, SVVV, Indore, Madhya Pradesh, India

2. Assistant Professor, Department of Information Technology, SVIIT, SVVV, Indore, Madhya Pradesh, India

Abstract

This paper provides different kinds of techniques for lossless data compression and comparison between them. By eliminating redundant bits, data compression decreases the file size. In order to reduce the capacity needed for that data, it decreases the redundant bits in data representation and thus uses the bandwidth effectively to reduce the communication cost. Compression of data saves file volume, network bandwidth and speeds up the transfer speed as well. Lossless and Lossy are the two techniques for data compression. Lossless compression maintains the data properly.

Publisher

Technoscience Academy

Subject

General Medicine

Reference12 articles.

1. A. B. Author Himali Patel, Unnati Itwala, Roshni Rana, Kruti Dangarwala “Survey of Lossless Data Compression Algorithms” International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Vol. 4 Issue 04, April-2015

2. Apoorv Vikram Singh, Garima Singh “A Survey on Different text Data Compression Techniques” International Journal of Science and Research (IJSR) ISSN (Online) No. 2319-7064, Vol. 3 Issue 7, July 2014

3. Prof. Dipti Mathpal, Prof. Mittal Darji, Prof. Sarangi Mehta “A Research Paper on Lossless Data Compression Techniques” International Journal for Innovative Research in Science & Technology (IJITST) ISSN (online) No. 2349-6010 Vol 4 Issue 1, June-2017

4. Wenjun Huang, Weimin Wang and Hui Xu, "A Lossless Data Compression Algorithm for Real-time Database," 2006 6th World Congress on Intelligent Control and Automation, Dalian, 2006, pp. 6645-6648, doi: 10.1109/WCICA.2006.1714368

5. A. Gopinath and M. Ravisankar, "Comparison of Lossless Data Compression Techniques," 2020 International Conference on Inventive Computation Technologies (ICICT), Coimbatore, India, 2020, pp. 628-633, doi: 10.1109/ICICT48043.2020.9112516.

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