International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 159 - Issue 5 |
Published: Feb 2017 |
Authors: Md Jayedul Haque, Mohammad Nurul Huda |
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Md Jayedul Haque, Mohammad Nurul Huda . Study on Data Compression Technique. International Journal of Computer Applications. 159, 5 (Feb 2017), 6-13. DOI=10.5120/ijca2017912416
@article{ 10.5120/ijca2017912416, author = { Md Jayedul Haque,Mohammad Nurul Huda }, title = { Study on Data Compression Technique }, journal = { International Journal of Computer Applications }, year = { 2017 }, volume = { 159 }, number = { 5 }, pages = { 6-13 }, doi = { 10.5120/ijca2017912416 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2017 %A Md Jayedul Haque %A Mohammad Nurul Huda %T Study on Data Compression Technique%T %J International Journal of Computer Applications %V 159 %N 5 %P 6-13 %R 10.5120/ijca2017912416 %I Foundation of Computer Science (FCS), NY, USA
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, Run-Length, LZW, Shannon-Fano, Repeated-Huffman, Run-Length-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.