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A joint image lossless compression and encryption method based on chaotic map

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Abstract

Nowadays poor security, low transmission and storage efficiency of images have become serious concerns. In order to improve the situation, this paper put forward a new image lossless compression joint encryption algorithm based on chaotic map with all original information intact. The lossless compression uses SPIHT(Set Partitioning in Hierarchical Trees) encoding method based on integer wavelet transform, and encrypt multiple rounds in the process of wavelet coefficients and SPIHT coding applying many kinds of chaotic maps. Experimental results show that the compressed file size is about 50 % of the original file size, which achieves relatively good lossless compression ratio. Besides, the encryption method passes many security tests, such as sensitivity test, entropy test, autocorrelation test, NIST SP800–22 test. There is a high application value in the medical field and the national security department whose image files require a relatively high quality.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (60973162), the Natural Science Foundation of Shandong Province of China (ZR2014FM026, ZR2009GM037), the Science and Technology of Shandong Province, China (2013GGX10129, 2010GGX10132, 2012GGX10110), the National Cryptology Development Foundation of China (No. MMJJ201301006), Foundation of Science and Technology on Information Assurance Laboratory (No. KJ-14-005) and the Engineering Technology and Research Center of Weihai Information Security.

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Authors and Affiliations

  1. School of Computer Science and Technology, Harbin Institute of Technology, Weihai, Shandong Province, 264209, People’s Republic of China

    Xiao-Jun Tong, Penghui Chen & Miao Zhang

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  1. Xiao-Jun Tong
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  2. Penghui Chen
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  3. Miao Zhang
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Correspondence to Xiao-Jun Tong.

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Tong, XJ., Chen, P. & Zhang, M. A joint image lossless compression and encryption method based on chaotic map. Multimed Tools Appl 76, 13995–14020 (2017). https://doi.org/10.1007/s11042-016-3775-6

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  • DOI: https://doi.org/10.1007/s11042-016-3775-6

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