https://doi.org/10.1140/epjp/s13360-024-05413-7
Regular Article
Enhanced image encryption with compression using improved coupled map lattices and Fisher–Yates permutation–diffusion
1
College of Big Data and Information Engineering, Guizhou University, 550025, Guiyang, China
2
State Key Laboratory of Public Big Data, Guizhou University, 550025, Guiyang, China
3
Guizhou Big Data Academy, Guizhou University, 550025, Guiyang, China
Received:
15
May
2024
Accepted:
30
June
2024
Published online:
20
August
2024
In this paper, we propose an efficient image encryption and compression scheme based on a novel coupled map lattice (CML) system called the improved sine-tangent coupled map lattices (ISTCML) model, along with the Fisher–Yates permutation–diffusion combination algorithm. Nonlinear analysis shows that the ISTCML system has more chaotic lattices than the traditional CML system, making it more suitable for image encryption. Furthermore, based on the ISTCML chaotic system, we propose an image encryption algorithm that incorporates both plaintext relations and the Fisher–Yates permutation–diffusion combinatorial algorithm. This algorithm achieves simultaneous permutation and diffusion, enhancing both the plaintext sensitivity and the efficiency of image encryption. The encryption and compression process involves several steps. Initially, the plain image is correlated with the initial keys to generate internal keys that control the whole process of encryption and compression. Then, the plain image is transformed by discrete wavelet transform (DWT) to create a coefficient matrix. This matrix is then scrambled using the index control sequence generated by the ISTCML system. Subsequently, the coefficient matrix is compressed using the measurement matrix generated by the ISTCML system. Finally, the Fisher–Yates permutation–diffusion combination algorithm is employed to simultaneously achieve permutation and diffusion. Under some common security analyses, our proposed image cryptosystem has strong security and excellent compression performance.
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© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
