Parallel Mixed Image Encryption and Extraction Algorithm Based on Compressed Sensing
Electrical Engineering College, Heilongjiang University, Harbin 150080, China
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Author to whom correspondence should be addressed.
Academic Editor: Raúl Alcaraz
Entropy 2021, 23(3), 278; https://doi.org/10.3390/e23030278
Received: 30 December 2020
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Revised: 23 February 2021
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Accepted: 25 February 2021
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Published: 25 February 2021
(This article belongs to the Special Issue Distributed Signal Processing for Coding and Information Theory)
In the actual image processing process, we often encounter mixed images that contain multiple valid messages. Such images not only need to be transmitted safely, but also need to be able to achieve effective separation at the receiving end. This paper designs a secure and efficient encryption and separation algorithm based on this kind of mixed image. Since chaotic system has the characteristics of initial sensitivity and pseudo-randomness, a chaos matrix is introduced into the compressed sensing framework. By using sequence signal to adjust the chaotic system, the key space can be greatly expanded. In the algorithm, we take the way of parallel transmission to block the data. This method can realize the efficient calculation of complex tasks in the image encryption system and improve the data processing speed. In the decryption part, the algorithm in this paper can not only realize the restoration of images, but also complete the effective separation of images through the improved restoration algorithm.
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Keywords:
mixed image; compressed sensing; parallel transmission; chaotic matrix
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MDPI and ACS Style
Yu, J.; Li, C.; Song, X.; Guo, S.; Wang, E. Parallel Mixed Image Encryption and Extraction Algorithm Based on Compressed Sensing. Entropy 2021, 23, 278. https://doi.org/10.3390/e23030278
AMA Style
Yu J, Li C, Song X, Guo S, Wang E. Parallel Mixed Image Encryption and Extraction Algorithm Based on Compressed Sensing. Entropy. 2021; 23(3):278. https://doi.org/10.3390/e23030278
Chicago/Turabian StyleYu, Jiayin, Chao Li, Xiaomeng Song, Shiyu Guo, and Erfu Wang. 2021. "Parallel Mixed Image Encryption and Extraction Algorithm Based on Compressed Sensing" Entropy 23, no. 3: 278. https://doi.org/10.3390/e23030278
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