2005Unpublished venueRequires access

Application of arithmetic coding in image compressing system

Zhang Xiao-san

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Abstract

Arithmetic coding is a method of lossless data compressing,it can effectively reduce the redundancy of the source,which making the coding rate inclines to the entropy of the source.The excellent performance of arithmetic coding makes it widely used such as in H.263,JBIG and the next still image-compressing standard-JPEG2000.This thesis introduces the basic algorithm of arithmetic coding and a correct one.Relative to these two algorithms,it also shows one example.At last,this thesis analyses the advantages and disadvantages of arithmetic coding and its future use.

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What this paper is about

Arithmetic coding is a method of lossless data compressing,it can effectively reduce the redundancy of the source,which making the coding rate inclines to the entropy of the source.The excellent performance of arithmetic coding makes it widely used such as in H.263,JBIG and the next still image-compressing standard-JPEG2000.This thesis introduces the basic algorithm of arithmetic coding and a correct one.Relative to these two algorithms,it also shows one example.At last,this thesis analyses the advantages and disadvantages of arithmetic coding and its future use.

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Available abstract

Arithmetic coding is a method of lossless data compressing,it can effectively reduce the redundancy of the source,which making the coding rate inclines to the entropy of the source.The excellent performance of arithmetic coding makes it widely used such as in H.263,JBIG and the next still image-compressing standard-JPEG2000.This thesis introduces the basic algorithm of arithmetic coding and a correct one.Relative to these two algorithms,it also shows one example.At last,this thesis analyses the advantages and disadvantages of arithmetic coding and its future use.

Key concepts: Arithmetic coding, Context-adaptive binary arithmetic coding, Context-adaptive variable-length coding, Computer science, Tunstall coding, Entropy encoding, Variable-length code, Huffman coding

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