Title |
Hiding multiple images in coupled lattices of hyper fractional maps / |
Authors |
Ragulskienė, Jūratė |
DOI |
10.15388/DAMSS.14.2023 |
ISBN |
9786090709856 |
Full Text |
|
Is Part of |
DAMSS 2023:14th conference on data analysis methods for software systems, November 30 – December 2, 2023, Druskininkai, Lithuania.. Vilnius : Vilnius University press, 2023. p. 76.. ISBN 9786090709856 |
Abstract [eng] |
The image hiding scheme in the two-dimensional coupled map lattice of nilpotent matrices is presented in this talk. The complexity of the hyper coupled map lattice is increased by replacing scalar nodal variables by n-dimensional iterative matrix variables. The proposed image hiding scheme is implemented using the matrix representation of the mapping function of the fractional logistic map. It is demonstarted that the spatiotemporal divergence induced by nilpotent nodal matrices can yield multiple secret images at diferent discrete moments of time during the time evolution of the lattice. The carrying capacity of the proposed scheme is n − 1 diferent dichotomous digital images, where n is the dimension of the nilpotent nodal matrices. Computational experiments are used to demonstrate the functionality of the proposed scheme. |
Published |
Vilnius : Vilnius University press, 2023 |
Type |
Conference paper |
Language |
English |
Publication date |
2023 |
CC license |
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