An image joint compression-encryption algorithm based on adaptive arithmetic coding

doi:10.1088/1674-1056/22/9/094202

Abstract Through a series of studies on arithmetic coding and arithmetic encryption, a novel image joint compression-encryption algorithm based on adaptive arithmetic coding is proposed. The contexts produced in the process of image compression are modified by keys in order to achieve image joint compression encryption. Combined with the bit-plane coding technique, the discrete wavelet transform coefficients in different resolutions can be encrypted respectively with different keys, so that the resolution selective encryption is realized to meet different application needs. Zero-tree coding is improved, and adaptive arithmetic coding is introduced. Then, the proposed joint compression-encryption algorithm is simulated. The simulation results show that as long as the parameters are selected appropriately, the compression efficiency of proposed image joint compression-encryption algorithm is basically identical to that of the original image compression algorithm, and the security of the proposed algorithm is better than the joint encryption algorithm based on interval splitting.

Keywords: image compression joint compression-encryption algorithm arithmetic encryption progressive classification encryption

Received: 09 January 2013
Revised: 27 February 2013
Accepted manuscript online:

PACS:	42.30.Va	(Image forming and processing)
	95.75.Mn	(Image processing (including source extraction))
	42.30.Wb	(Image reconstruction; tomography)

Fund: Project supported by the Natural Science Foundation of Hainan Province, China (Grant No. 613155).

Corresponding Authors: Deng Jia-Xian
E-mail: jxiandeng@126.com

Cite this article:

Deng Jia-Xian (邓家先), Deng Hai-Tao (邓海涛) An image joint compression-encryption algorithm based on adaptive arithmetic coding 2013 Chin. Phys. B 22 094202

[1]	Katti R S, Srinivasan S K and Vosoughi A 2011 IEEE Trans. Inf. Forensics Security 6 19
[2]	Kim H, Wen J T and Villasenor J D 2007 IEEE Trans. Signal Process. 55 2263
[3]	Wu C P and Kuo C C J 2005 IEEE Trans. Multimedia 7 828
[4]	Grangetto M, Magli E and Olmo G 2006 IEEE Trans. Multimedia 8 905
[5]	Wen J T, Kim H and Villasenor J D 2006 IEEE Tran. Signal Process. Lett. 13 69
[6]	Bose R and Pathak S 2006 IEEE Trans. Circuits Syst. I 53 848
[7]	Mao Y and Wu M 2006 IEEE Trans. Image Process. 15 2061
[8]	Zheng H R and Jing C H 2003 J. Commun. 24 73 (in Chinese)
[9]	Duan L L, Liao X F and Xiang T 2010 Acta Phys. Sin. 59 6744 (in Chinese)
[10]	Deng J X, Wu C K and Chen J 2004 Acta Opt. Sin. 24 299 (in Chinese)
[11]	http://www.jpeg.org/public/jpeglinks.htm.
[12]	Taubman D 2000 IEEE Trans. Image Process. 9 1158
[13]	Taubman D, Ordentlich E, Weinberger M and Seroussi G 2002 Signal Process. Image Commun. 17 49
[14]	Christopoulos C, AskelÖf J and Larsson M 2000 IEEE Signal Process. Lett. 7 247

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