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

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成果类型:
期刊论文
作者:
Sun, Xiyu;Chen, Zhong;Wang, Lujie;He, Chenchen
通讯作者:
Chen, Z
作者机构:
[Sun, Xiyu; Wang, Lujie; He, Chenchen; Chen, Zhong] Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang 421002, Peoples R China.
[Sun, Xiyu; Wang, Lujie; He, Chenchen; Chen, Zhong] Hunan Prov Key Lab Intelligent Informat Proc & App, Hengyang 421002, Peoples R China.
通讯机构:
[Chen, Z ] H
Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang 421002, Peoples R China.
语种:
英文
关键词:
Image encryption;Lossless compression;Hyperchaotic system;MED;MLP;Nonlinear diffusion
期刊:
Nonlinear Dynamics
ISSN:
0924-090X
年:
2023
卷:
111
期:
16
页码:
15445-15475
基金类别:
scientific research project of Hengyang Normal University [18D24]; Science and Technology Plan Project of Hunan Province [2016TP1020]; General Scientific Research Fund of Hunan Provincial Education Department [19A066]
机构署名:
本校为第一且通讯机构
院系归属:
计算机科学与技术学院
摘要:
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 ...

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