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AuthorKhan, Majid
AuthorKhan, Lalsaid
AuthorHazzazi, Mohammad Mazyad
AuthorJamal, Sajjad Shaukat
AuthorHussain, Iqtadar
Available date2022-05-30T07:09:50Z
Publication Date2022-05-01
Publication NameMultimedia Tools and Applications
Identifierhttp://dx.doi.org/10.1007/s11042-022-12441-x
CitationKhan, M., Khan, L., Hazzazi, M.M. et al. Image encryption scheme for multi-focus images for visual sensors network. Multimed Tools Appl 81, 16353–16370 (2022). https://doi.org/10.1007/s11042-022-12441-x
ISSN13807501
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85125546867&origin=inward
URIhttp://hdl.handle.net/10576/31669
AbstractImage fusion is the technique to obtain an image, possessing spatially and spectrally enhanced as compared to the individual high spatial and high spectral images. After obtaining a detailed image, propagation over an insecure channel is a critical issue to address. In this article, we have projected an image encryption structure for the fused image resulted from the multi-focus sensors. The projected scheme offered confusion as well as diffusion, which are the core parts of any symmetric cryptosystem. The projected cryptosystem has been tested against various security analysis and tabulated. The Number of Pixel Change Rate (NPCR) and Unified Average Change Intensity (UACI) are 99.62 and 33.49 shows the strength of the proposed encryption against differential attacks. For real-time implementation the time analysis is performed, for image fusion and encryption the algorithm only takes 1.268 s which makes it suitable for real-time implementation. The analysis is compared with the existing state-of-the-art techniques. The designed system is capable of obtaining spectrally and spatially enhanced image from multi-focus images and provide a high level of security.
Languageen
PublisherSpringer
SubjectDiscretized Chirikov standard map
Image fusion
Logistic map
TitleImage encryption scheme for multi-focus images for visual sensors network
TypeArticle
Pagination16353-16370
Issue Number12
Volume Number81
ESSN1573-7721


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