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Article

Visual Secure Image Encryption Scheme Based on Compressed Sensing and Regional Energy

Electrical Engineering College, Heilongjiang University, Harbin 150080, China
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Academic Editor: Ludovico Minati
Entropy 2021, 23(5), 570; https://doi.org/10.3390/e23050570
Received: 13 April 2021 / Revised: 27 April 2021 / Accepted: 4 May 2021 / Published: 6 May 2021
The network security transmission of digital images needs to solve the dual security problems of content and appearance. In this paper, a visually secure image compression and encryption scheme is proposed by combining compressed sensing (CS) and regional energy. The plain image is compressed and encrypted into a secret image by CS and zigzag confusion. Then, according to the regional energy, the secret image is embedded into a carrier image to obtain the final visual secure cipher image. A method of hour hand printing (HHP) scrambling is proposed to increase the pixel irrelevance. Regional energy embedding reduce the damage to the visual quality of carrier image, and the different embedding positions between images greatly enhances the security of the encryption algorithm. Furthermore, the hyperchaotic multi-character system (MCS) is utilized to construct measurement matrix and control pixels. Simulation results and security analyses demonstrate the effectiveness, security and robustness of the propose algorithm. View Full-Text
Keywords: image encryption; compressed sensing; regional energy; multi-character chaotic system image encryption; compressed sensing; regional energy; multi-character chaotic system
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MDPI and ACS Style

Shi, M.; Guo, S.; Song, X.; Zhou, Y.; Wang, E. Visual Secure Image Encryption Scheme Based on Compressed Sensing and Regional Energy. Entropy 2021, 23, 570. https://doi.org/10.3390/e23050570

AMA Style

Shi M, Guo S, Song X, Zhou Y, Wang E. Visual Secure Image Encryption Scheme Based on Compressed Sensing and Regional Energy. Entropy. 2021; 23(5):570. https://doi.org/10.3390/e23050570

Chicago/Turabian Style

Shi, Mengna, Shiyu Guo, Xiaomeng Song, Yanqi Zhou, and Erfu Wang. 2021. "Visual Secure Image Encryption Scheme Based on Compressed Sensing and Regional Energy" Entropy 23, no. 5: 570. https://doi.org/10.3390/e23050570

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