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Enhancing visual security: An image encryption scheme based on parallel compressive sensing and edge detection embedding |
| Yiming Wang(王一铭)1,2, Shufeng Huang(黄树锋)1, Huang Chen(陈煌)2, Jian Yang(杨健)2,†, and Shuting Cai(蔡述庭)1,‡ |
1 School of Integrated Circuits, Guangdong University of Technology, Guangzhou 510006, China;
2 School of Automation, Guangdong University of Technology, Guangzhou 510006, China |
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Abstract A novel image encryption scheme based on parallel compressive sensing and edge detection embedding technology is proposed to improve visual security. Firstly, the plain image is sparsely represented using the discrete wavelet transform. Then, the coefficient matrix is scrambled and compressed to obtain a size-reduced image using the Fisher--Yates shuffle and parallel compressive sensing. Subsequently, to increase the security of the proposed algorithm, the compressed image is re-encrypted through permutation and diffusion to obtain a noise-like secret image. Finally, an adaptive embedding method based on edge detection for different carrier images is proposed to generate a visually meaningful cipher image. To improve the plaintext sensitivity of the algorithm, the counter mode is combined with the hash function to generate keys for chaotic systems. Additionally, an effective permutation method is designed to scramble the pixels of the compressed image in the re-encryption stage. The simulation results and analyses demonstrate that the proposed algorithm performs well in terms of visual security and decryption quality.
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Received: 07 July 2023
Revised: 20 September 2023
Accepted manuscript online: 10 October 2023
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PACS:
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05.45.Gg
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(Control of chaos, applications of chaos)
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05.45.-a
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(Nonlinear dynamics and chaos)
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| Fund: This work was supported by the Key Area R&D Program of Guangdong Province (Grant No. 2022B0701180001), the National Natural Science Foundation of China (Grant No. 61801127), the Science Technology Planning Project of Guangdong Province, China (Grant Nos. 2019B010140002 and 2020B111110002), and the Guangdong-Hong Kong-Macao Joint Innovation Field Project (Grant No. 2021A0505080006). |
Corresponding Authors:
Jian Yang, Shuting Cai
E-mail: yj@gdut.edu.cn;shutingcai@gdut.edu.cn
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Cite this article:
Yiming Wang(王一铭), Shufeng Huang(黄树锋), Huang Chen(陈煌), Jian Yang(杨健), and Shuting Cai(蔡述庭) Enhancing visual security: An image encryption scheme based on parallel compressive sensing and edge detection embedding 2024 Chin. Phys. B 33 010502
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