Image encryption scheme for multi-focus images for visual sensors network
Author | Khan, Majid |
Author | Khan, Lalsaid |
Author | Hazzazi, Mohammad Mazyad |
Author | Jamal, Sajjad Shaukat |
Author | Hussain, Iqtadar |
Available date | 2022-05-30T07:09:50Z |
Publication Date | 2022-05-01 |
Publication Name | Multimedia Tools and Applications |
Identifier | http://dx.doi.org/10.1007/s11042-022-12441-x |
Citation | Khan, 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 |
ISSN | 13807501 |
Abstract | Image 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. |
Language | en |
Publisher | Springer |
Subject | Discretized Chirikov standard map Image fusion Logistic map |
Type | Article |
Pagination | 16353-16370 |
Issue Number | 12 |
Volume Number | 81 |
ESSN | 1573-7721 |
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Mathematics, Statistics & Physics [738 items ]