A lossless image compression and encryption algorithm combining JPEG-LS, neural network and hyperchaotic system

• Published in: Nonlinear dynamics Vol. 111; no. 16; pp. 15445 - 15475
• Main Authors: Sun, Xiyu, Chen, Zhong, Wang, Lujie, He, Chenchen
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.08.2023; Springer Nature B.V
• Subjects: 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; MLP; Lossless compression; Image encryption; Hyperchaotic system; Nonlinear diffusion; MED
• ISSN: 0924-090X; 1573-269X
• DOI: 10.1007/s11071-023-08622-4

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.