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Image compression and encryption algorithm based on 2D compressive sensing and hyperchaotic system

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Abstract

Aiming at the security and efficiency problems in the process of image transmission, an image compression–encryption scheme based on 2D compressive sensing and hyperchaotic system is proposed in this paper. First, we construct a hyperchaotic system with more complex chaotic behavior, which is used to construct the measurement matrix of compressive sensing. Then, two-dimensional compressive sensing is used to compress the image. Compared with one-dimensional sensing, it achieves faster execution efficiency and better image reconstruction quality. Finally, to improve the encryption security, we use the multiplicative inverse operation in the finite domain to diffuse the cipher image after compressive sensing. The experimental simulation results show that the algorithm in this paper has higher execution efficiency, better image reconstruction quality, great security and robustness.

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Acknowledgements

This work was supported by the following projects and foundations: the National Natural Science Foundation of China (No.61902091), project ZR2019MF054 supported by Shandong Provincial Natural Science Foundation and the Fundamental Research Funds for the Central Universities (HIT.NSRIF.2020099), the Foundation of Science and Technology on Information Assurance Laboratory (No.KJ-17-004), Equip Preresearch Projects of 2018 supported by Foundation of China Academy of Space Technology (No. WT-TXYY/WLZDFHJY003), 2017 Weihai University Co-construction Project.

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

    JinLong Liu, Miao Zhang, Xiaojun Tong & Zhu Wang

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Correspondence to Miao Zhang or Xiaojun Tong.

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Communicated by Y. Zhang.

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Liu, J., Zhang, M., Tong, X. et al. Image compression and encryption algorithm based on 2D compressive sensing and hyperchaotic system. Multimedia Systems 28, 595–610 (2022). https://doi.org/10.1007/s00530-021-00859-6

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