2016•Unpublished venueRequires access

Performance comparison of Huffman Coding and Double Huffman Coding

Rabia Arshad, Adeel Saleem, Danista Khan

Open publisher page 20 citations

Abstract

Huffman coding [11] is a most popular technique for generating prefix-free codes [7, 10]. It is an efficient algorithm in the field of source coding. It produces the lowest possible number of code symbols of a single source symbol [1]. Huffman coding is a most widely used lossless compression technique [2]. However, there are some limitations that arise in Huffman coding [20, 21]. This method produces a code of few bits for a symbol having high probability of occurrence and large number of bits for a symbol having low probability of occurrence [3]. Instead of this, in Double Huffman Coding when the code word of the symbol has been generated it will be compressed on binary basis. Through this technique a better result be achieved. In this paper we discussed the technique of Huffman Coding and Double Huffman coding and compare their performance analysis.

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What this paper is about

Huffman coding [11] is a most popular technique for generating prefix-free codes [7, 10]. It is an efficient algorithm in the field of source coding. It produces the lowest possible number of code symbols of a single source symbol [1]. Huffman coding is a most widely used lossless compression technique [2]. However, there are some limitations that arise in Huffman coding [20, 21]. This method produces a code of few bits for a symbol having high probability of occurrence and large number of bits for a symbol having low probability of occurrence [3]. Instead of this, in Double Huffman Coding when the code word of the symbol has been generated it will be compressed on binary basis. Through this technique a better result be achieved. In this paper we discussed the technique of Huffman Coding and Double Huffman coding and compare their performance analysis.

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Available abstract

Huffman coding [11] is a most popular technique for generating prefix-free codes [7, 10]. It is an efficient algorithm in the field of source coding. It produces the lowest possible number of code symbols of a single source symbol [1]. Huffman coding is a most widely used lossless compression technique [2]. However, there are some limitations that arise in Huffman coding [20, 21]. This method produces a code of few bits for a symbol having high probability of occurrence and large number of bits for a symbol having low probability of occurrence [3]. Instead of this, in Double Huffman Coding when the code word of the symbol has been generated it will be compressed on binary basis. Through this technique a better result be achieved. In this paper we discussed the technique of Huffman Coding and Double Huffman coding and compare their performance analysis.

Key concepts: Huffman coding, Tunstall coding, Shannon–Fano coding, Canonical Huffman code, Prefix code, Variable-length code, Computer science, Algorithm

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