Novel hybrid image compression–encryption algorithm based on compressive sensing
A new hybrid image compression–encryption algorithm based on compressive sensing is proposed, which can accomplish image encryption and compression simultaneously. The partial Hadamard matrix is adopted as measurement matrix, which is controlled by chaos map. The measurement is scrambled. Compared w...
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| Vydáno v: | Optik (Stuttgart) Ročník 125; číslo 18; s. 5075 - 5080 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier GmbH
01.09.2014
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| ISSN: | 0030-4026, 1618-1336 |
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| Abstract | A new hybrid image compression–encryption algorithm based on compressive sensing is proposed, which can accomplish image encryption and compression simultaneously. The partial Hadamard matrix is adopted as measurement matrix, which is controlled by chaos map. The measurement is scrambled. Compared with the methods adopting the Gaussian random matrix as measurement matrix, and those using the whole measurement matrix as key, the proposed algorithm reduces the burden of transferring key and is more practical. The proposed algorithm with sensitive keys and nice image compression ability can resist various attacks. Simulation results verify the validity and reliability of the proposed algorithm. |
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| AbstractList | A new hybrid image compression–encryption algorithm based on compressive sensing is proposed, which can accomplish image encryption and compression simultaneously. The partial Hadamard matrix is adopted as measurement matrix, which is controlled by chaos map. The measurement is scrambled. Compared with the methods adopting the Gaussian random matrix as measurement matrix, and those using the whole measurement matrix as key, the proposed algorithm reduces the burden of transferring key and is more practical. The proposed algorithm with sensitive keys and nice image compression ability can resist various attacks. Simulation results verify the validity and reliability of the proposed algorithm. |
| Author | Wu, Jianhua Pei, Dongju Zhang, Aidi Yang, Yixian Zhou, Nanrun |
| Author_xml | – sequence: 1 givenname: Nanrun surname: Zhou fullname: Zhou, Nanrun email: znr21@163.com, nrzhou@ncu.edu.cn organization: Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China – sequence: 2 givenname: Aidi surname: Zhang fullname: Zhang, Aidi organization: Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China – sequence: 3 givenname: Jianhua surname: Wu fullname: Wu, Jianhua organization: Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China – sequence: 4 givenname: Dongju surname: Pei fullname: Pei, Dongju organization: School of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang 330045, China – sequence: 5 givenname: Yixian surname: Yang fullname: Yang, Yixian organization: Information Security Center, Beijing University of Posts and Telecommunications, Beijing 100876, China |
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