dc.contributor.author | Xie, Zizhao | |
dc.contributor.author | Sun, Jingru | |
dc.contributor.author | Tang, Yiping | |
dc.contributor.author | Tang, Xin | |
dc.contributor.author | Simpson, Oluyomi | |
dc.contributor.author | Sun, Yichuang | |
dc.date.accessioned | 2023-04-18T13:30:02Z | |
dc.date.available | 2023-04-18T13:30:02Z | |
dc.date.issued | 2023-04-30 | |
dc.identifier.citation | Xie , Z , Sun , J , Tang , Y , Tang , X , Simpson , O & Sun , Y 2023 , ' A K-SVD Based Compressive Sensing Method for Visual Chaotic Image Encryption ' , Mathematics , vol. 11 , no. 7 , 1658 . https://doi.org/10.3390/math11071658 | |
dc.identifier.other | Jisc: 1003123 | |
dc.identifier.uri | http://hdl.handle.net/2299/26185 | |
dc.description | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | |
dc.description.abstract | The visually secure image encryption scheme is an effective image encryption method, which embeds an encrypted image into a visual image to realize a secure and secret image transfer. This paper proposes a merging compression and encryption chaos image visual encryption scheme. First, a dictionary matrix D is constructed with the plain image by the K-SVD algorithm, which can encrypt the image while sparsing. Second, an improved Zeraoulia-Sprott chaotic map and logistic map are employed to generate three S-Boxes, which are used to complete scrambling, diffusion, and embedding operations. The secret keys of this scheme contain the initial value of the chaotic system and the dictionary matrix D, which significantly increases the key space, plain image correlation, and system security. Simulation shows the proposed image encryption scheme can resist most attacks and, compared with the existing scheme, the proposed scheme has a larger key space, higher plain image correlation, and better image restoration quality, improving image encryption processing efficiency and security. | en |
dc.format.extent | 20 | |
dc.format.extent | 7742671 | |
dc.language.iso | eng | |
dc.relation.ispartof | Mathematics | |
dc.subject | 34H10 | |
dc.subject | Article | |
dc.subject | K-SVD | |
dc.subject | chaos | |
dc.subject | compressive sensing | |
dc.subject | image encryption | |
dc.subject | Computer Science (miscellaneous) | |
dc.subject | Engineering (miscellaneous) | |
dc.subject | General Mathematics | |
dc.title | A K-SVD Based Compressive Sensing Method for Visual Chaotic Image Encryption | en |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Department of Engineering and Technology | |
dc.contributor.institution | Centre for Engineering Research | |
dc.contributor.institution | Centre for Future Societies Research | |
dc.contributor.institution | Communications and Intelligent Systems | |
dc.description.status | Peer reviewed | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85152797831&partnerID=8YFLogxK | |
rioxxterms.versionofrecord | 10.3390/math11071658 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |