Buckley, N and Nagar, Atulya K. and Secco, Emanuele Lindo (2023) On Multi-image Random Grids by Arbitrary Transformations. Human-Centric Intelligent Systems (HCIN). ISSN 2667-1336 (Accepted for Publication)
Preview |
Text
HCIN-D-23-00098_R1.pdf - Accepted Version Available under License Creative Commons Attribution. Download (2MB) | Preview |
Abstract
Random grids are a method for visual secret sharing, whereby a secret image is encoded into a number of shares, each of which is maximally entropic. There has been growing interest in hiding multiple images in a scheme, such that additional images are revealed by stacking the shares in different ways. This paper propos-es a metaheuristic method for generating schemes that allow for a wide range of transformations, or even combinations thereof, to reveal an arbitrary number of secret images. Up to 10 multi-secrets are shown in this paper, as well as hiding multiple secrets in a general access structure. To remove noise from these schemes an algorithm is proposed to extract the information from the noise, and in all cases, relative contrasts are given. In one example, six images are hidden in two shares, such that the mean relative contrast under OR-stacking is 0.152, un-der XOR-stacking 0.278, and with noise removed, it is 0.74. In an example hid-ing 10 images in two shares, the values are respectively 0.136, 0.206 and 0.679, respectively.
| Item Type: | Article |
|---|---|
| Faculty / Department: | Faculty of Human and Digital Sciences > Mathematics and Computer Science |
| Depositing User: | Emanuele Secco |
| Date Deposited: | 01 Dec 2023 11:50 |
| Last Modified: | 01 Mar 2024 01:15 |
| URI: | https://hira.hope.ac.uk/id/eprint/4082 |
Actions (login required)
 |
View Item |
Altmetric
Altmetric
