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A new algorithm of the combination of image compression and encryption technology based on cross chaotic map

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Abstract

Since the size of the image file is not reduced after encryption, the flow rate of image file transmission cannot be reduced. Transmission time is wasted. To meet the requirements of security and real-time, wavelet transform and chaotic image encryption technology are combined. A cross-chaos map has been proposed based on Devaney’s theory. The image pixels are scrambled under the control of high-dimensional chaotic sequence, which is generated by the cross chaotic map. The image pixels are substituted by the ciphertext feedback algorithm. The algorithm can relate to encryption parameters with plaintext, and can make one plaintext byte affect more ciphertext bytes. In the process of image wavelet transform, image encryption and image compression are combined. The low frequency region of the wavelet transform is encrypted. Security analysis and experimental validation illuminated that the algorithm has high security, good encryption speed, and compression effect. The algorithm has good practical value.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (60973162), the Natural Science Foundation of Shandong Province of China (ZR2009GM037), the Science and Technology of Shandong Province, China (2010GGX10132, 2012GGX10110), the Soft Science of Shandong Province, China (2012RKA10009), the Scientific Research Foundation of Harbin Institute of Technology at Weihai (Grant No. HIT(WH) ZB200909), and the Key Natural Science Foundation of Shandong Province of China (Z2006G01).

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  1. School of Computer Science and Technology, Harbin Institute of Technology, Weihai, 264209, China

    Xiao-Jun Tong, Zhu Wang, Miao Zhang & Yang Liu

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  1. Xiao-Jun Tong
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  2. Zhu Wang
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  3. Miao Zhang
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  4. Yang Liu
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Correspondence to Xiao-Jun Tong.

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Tong, XJ., Wang, Z., Zhang, M. et al. A new algorithm of the combination of image compression and encryption technology based on cross chaotic map. Nonlinear Dyn 72, 229–241 (2013). https://doi.org/10.1007/s11071-012-0707-5

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  • DOI: https://doi.org/10.1007/s11071-012-0707-5

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