Optimal Maximal Prefix Coding and Huffman Coding

نویسندگان

  • Dongyang Long
  • Weijia Jia
چکیده

Huffman coding has been widely used in data, image, and video compression. Novel maximal prefix coding different from the Huffman coding is introduced. Relationships between the Huffman coding and optimal maximal prefix coding are discussed. We show that all Huffman coding schemes are maximal prefix coding schemes and have the shortest average code word length among maximal prefix coding schemes. Moreover, it is proven that, for any maximal prefix code C, there exists a suitable information source I = ( , P) such that C is exactly a Huffman code for I = ( , P). So it is essential to show that the class of Huffman codes is coincident with the class of maximal prefix codes. A case study of applying to data compression is also given. Comparing with the Huffman coding, maximal prefix coding is a more flexible compression method.

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تاریخ انتشار 2001