A lossless image compression and encryption algorithm combining JPEG-LS, neural network and hyperchaotic system
In this paper, a lossless image compression and encryption algorithm combining JPEG-LS, neural networks and hyperchaotic mapping is proposed to protect the privacy of digital images and reduce data storage space. Firstly, we design a new 2-Dimensional Logistic-Like Hyperchaotic Map (2DLLHM), which h...
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| Published in | Nonlinear dynamics Vol. 111; no. 16; pp. 15445 - 15475 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Dordrecht
Springer Netherlands
01.08.2023
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0924-090X 1573-269X |
| DOI | 10.1007/s11071-023-08622-4 |
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| Abstract | In this paper, a lossless image compression and encryption algorithm combining JPEG-LS, neural networks and hyperchaotic mapping is proposed to protect the privacy of digital images and reduce data storage space. Firstly, we design a new 2-Dimensional Logistic-Like Hyperchaotic Map (2DLLHM), which has more complex dynamics than some existing known chaotic systems, and can be used to build a good pseudorandom sequence generator. Secondly, to compress images efficiently, we design a new pixel predictor by combining the MED (Median Edge Detector) of JPEG-LS with MLP (Multilayer Perceptron). This predictor is called MMP. The MMP can effectively improve the prediction effect of edge texture area. On this basis, a threshold segmentation method is proposed. The method combined with MMP, run-length coding and Huffman coding can further improve the image compression ratio. Finally, to avoid some of the existing weak encryption designs, we construct a multi-round nonlinear diffusion structure with more excellent diffusion performance. Experiments show that the algorithm achieves a good compression ratio and can resist brute force attacks, statistical attacks, chosen-plaintext attacks and chosen-ciphertext attacks. |
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| AbstractList | In this paper, a lossless image compression and encryption algorithm combining JPEG-LS, neural networks and hyperchaotic mapping is proposed to protect the privacy of digital images and reduce data storage space. Firstly, we design a new 2-Dimensional Logistic-Like Hyperchaotic Map (2DLLHM), which has more complex dynamics than some existing known chaotic systems, and can be used to build a good pseudorandom sequence generator. Secondly, to compress images efficiently, we design a new pixel predictor by combining the MED (Median Edge Detector) of JPEG-LS with MLP (Multilayer Perceptron). This predictor is called MMP. The MMP can effectively improve the prediction effect of edge texture area. On this basis, a threshold segmentation method is proposed. The method combined with MMP, run-length coding and Huffman coding can further improve the image compression ratio. Finally, to avoid some of the existing weak encryption designs, we construct a multi-round nonlinear diffusion structure with more excellent diffusion performance. Experiments show that the algorithm achieves a good compression ratio and can resist brute force attacks, statistical attacks, chosen-plaintext attacks and chosen-ciphertext attacks. |
| Author | Chen, Zhong Sun, Xiyu Wang, Lujie He, Chenchen |
| Author_xml | – sequence: 1 givenname: Xiyu surname: Sun fullname: Sun, Xiyu organization: College of Computer Science and Technology, Hengyang Normal University, Hunan Provincial Key Laboratory of Intelligent Information Processing and Application – sequence: 2 givenname: Zhong surname: Chen fullname: Chen, Zhong email: chenzhong@hynu.edu.cn organization: College of Computer Science and Technology, Hengyang Normal University, Hunan Provincial Key Laboratory of Intelligent Information Processing and Application – sequence: 3 givenname: Lujie surname: Wang fullname: Wang, Lujie organization: College of Computer Science and Technology, Hengyang Normal University, Hunan Provincial Key Laboratory of Intelligent Information Processing and Application – sequence: 4 givenname: Chenchen surname: He fullname: He, Chenchen organization: College of Computer Science and Technology, Hengyang Normal University, Hunan Provincial Key Laboratory of Intelligent Information Processing and Application |
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| SubjectTerms | Algorithms Automotive Engineering Classical Mechanics Compression ratio Control Data storage Digital imaging Dynamical Systems Encryption Engineering Huffman codes Image compression Image segmentation Mechanical Engineering Multilayer perceptrons Neural networks Original Paper Pseudorandom sequences Vibration |
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| Title | A lossless image compression and encryption algorithm combining JPEG-LS, neural network and hyperchaotic system |
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