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Research Article · Open access · Published 9 December 2018

Huffman Based Code Generation Algorithms: Data Compression Perspectives

Ahsan Habib1, M. Jahirul Islam1 & M. Shahidur Rahman1

Journal of Computer Science, Volume 14, Issue 12, pp. 1599–1610 · doi.org/10.3844/jcssp.2018.1599.1610

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Abstract

This article proposes two dynamic Huffman based code generation algorithms, namely Octanary and Hexanary algorithm, for data compression. Faster encoding and decoding process is very important in data compression area. We propose tribit-based (Octanary) and quadbit-based (Hexanary) algorithm and compare the performance with the existing widely used single bit (Binary) and recently introduced dibit (Quaternary) algorithms. The decoding algorithms for the proposed techniques have also been described. After assessing all the results, it is found that the Octanary and the Hexanary techniques perform better than the existing techniques in terms of encoding and decoding speed.

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Habib, A., Islam, M. J. & Rahman, M. S. (2018). Huffman Based Code Generation Algorithms: Data Compression Perspectives. Journal of Computer Science, 14(12), 1599–1610. https://doi.org/10.3844/jcssp.2018.1599.1610

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Huffman Based Code Generation Algorithms: Data Compression PerspectivesJournal of Computer Science · Volume 14, Issue 12 · pp. 1599–1610 · CC BY 3.0Download