An efficient adaptive arithmetic coding image compression technology

doi:10.1088/1674-1056/20/10/104203

中国物理B ›› 2011, Vol. 20 ›› Issue (10): 104203-104203.doi: 10.1088/1674-1056/20/10/104203

• CLASSICAL AREAS OF PHENOMENOLOGY • 上一篇下一篇

An efficient adaptive arithmetic coding image compression technology

王兴元, 云娇娇, 张永雷

Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China

收稿日期:2011-02-23 修回日期:2011-04-21 出版日期:2011-10-15 发布日期:2011-10-15
基金资助:
Project supported by the National Natural Science Foundation of China (Grant Nos. 60573172 and 60973152), the Superior University Doctor Subject Special Scientific Research Foundation of China (Grant No. 20070141014), and the Natural Science Foundation of Liaoning Province of China (Grant No. 20082165).

An efficient adaptive arithmetic coding image compression technology

Wang Xing-Yuan(王兴元)^†, Yun Jiao-Jiao(云娇娇),^‡ and Zhang Yong-Lei(张永雷)

Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China

Received:2011-02-23 Revised:2011-04-21 Online:2011-10-15 Published:2011-10-15
Supported by:
Project supported by the National Natural Science Foundation of China (Grant Nos. 60573172 and 60973152), the Superior University Doctor Subject Special Scientific Research Foundation of China (Grant No. 20070141014), and the Natural Science Foundation of Liaoning Province of China (Grant No. 20082165).

摘要/Abstract

摘要： This paper proposes an efficient lossless image compression scheme for still images based on an adaptive arithmetic coding compression algorithm. The algorithm increases the image coding compression rate and ensures the quality of the decoded image combined with the adaptive probability model and predictive coding. The use of adaptive models for each encoded image block dynamically estimates the probability of the relevant image block. The decoded image block can accurately recover the encoded image according to the code book information. We adopt an adaptive arithmetic coding algorithm for image compression that greatly improves the image compression rate. The results show that it is an effective compression technology.

Abstract: This paper proposes an efficient lossless image compression scheme for still images based on an adaptive arithmetic coding compression algorithm. The algorithm increases the image coding compression rate and ensures the quality of the decoded image combined with the adaptive probability model and predictive coding. The use of adaptive models for each encoded image block dynamically estimates the probability of the relevant image block. The decoded image block can accurately recover the encoded image according to the code book information. We adopt an adaptive arithmetic coding algorithm for image compression that greatly improves the image compression rate. The results show that it is an effective compression technology.

Key words: arithmetic coding, adaptive, image compression

中图分类号: (Image forming and processing)

42.30.Va

42.30.Wb (Image reconstruction; tomography) 87.57.C- (Image quality)

王兴元, 云娇娇, 张永雷. An efficient adaptive arithmetic coding image compression technology[J]. 中国物理B, 2011, 20(10): 104203-104203.

Wang Xing-Yuan(王兴元), Yun Jiao-Jiao(云娇娇), and Zhang Yong-Lei(张永雷) . An efficient adaptive arithmetic coding image compression technology[J]. Chin. Phys. B, 2011, 20(10): 104203-104203.

参考文献 21

[1]	Langdon G G and Jorma B 1981 IEEE Trans. Commun. 29 858
[2]	Langdon G G and Jorma B 1983 IEEE Trans. Commun. 31 1253
[3]	Witten I H, Neal R M and Cleary J G 1987 Commun. ACM 30 520
[4]	Zhang H Z and Hu Y Z 2007 Chin. J. Sci. Instrum. 28 385 (in Chinese)
[5]	Atef M, William P and Mohamed S B 2010 J. Electron. Imaging 19 1
[6]	Golchin F and Paliwal K. K 1998 IEEE ICASSP 5 2545
[7]	Matsuda I, Shirai N and Itoh S 2003 Lect. Notes Comput. Sci. 2849 199
[8]	Kuroki N, Manabe T and Numa M 2004 IEEE ISCAS 3 961
[9]	Veeraswamy K, Mohan B C and Yothirmayi T J 2007 IEEE CS 3 25
[10]	Veeraswamy K and Srinivas K S 2008 J. Multimedia 3 16
[11]	Gopal L 2008 IEEE Trans. Circ. Syst. Vid. 18 791
[12]	Duan L L, Liao X F and Xiang T 2010 Commun. Nonlinear Sci. Numer. Simul. Accepted
[13]	Li H J and Zhang J S 2009 Commun. Nonlinear Sci. Numer. Simul. 14 4304
[14]	Nithin N, Prabhakar G V and Kishor G B 2009 Commun. Nonlinear Sci. Numer. Simul. 14 1013
[15]	Mi B, Liao X F and Chen Y 2008 Chaos, Solitons and Fractals 38 1523
[16]	Pang C Y, Zhou Z W and Guo G C 2006 Chin. Phys. 15 3039
[17]	Pang C Y, Zhou Z W, Chen P X and Guo G C 2006 Chin. Phys. 15 618
[18]	Long G L and Xiao L 2004 Phys. Rev. A 69 052303
[19]	Ren H P, Ping Z L, Bo W R G, Sheng Y L, Chen S Z and Wu W K 2003 Chin. Phys. 12 610
[20]	Xu Y, Dong J T and Wang S H 2010 Acta Phys. Sin. 59 7535 (in Chinese)
[21]	Gao Z R, Xiong C Y and Hou J H 2007 Proc. SPIE 6787 1

An efficient adaptive arithmetic coding image compression technology

An efficient adaptive arithmetic coding image compression technology

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