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An n-Dimensional Chaotic Map with Application in Reversible Data Hiding for Medical Images

Authors :
Yuli Yang
Ruiyun Chang
Xiufang Feng
Peizhen Li
Yongle Chen
Hao Zhang
Source :
Entropy, Vol 26, Iss 3, p 254 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

The drawbacks of a one-dimensional chaotic map are its straightforward structure, abrupt intervals, and ease of signal prediction. Richer performance and a more complicated structure are required for multidimensional chaotic mapping. To address the shortcomings of current chaotic systems, an n-dimensional cosine-transform-based chaotic system (nD-CTBCS) with a chaotic coupling model is suggested in this study. To create chaotic maps of any desired dimension, nD-CTBCS can take advantage of already-existing 1D chaotic maps as seed chaotic maps. Three two-dimensional chaotic maps are provided as examples to illustrate the impact. The findings of the evaluation and experiments demonstrate that the newly created chaotic maps function better, have broader chaotic intervals, and display hyperchaotic behavior. To further demonstrate the practicability of nD-CTBCS, a reversible data hiding scheme is proposed for the secure communication of medical images. The experimental results show that the proposed method has higher security than the existing methods.

Details

Language :
English
ISSN :
10994300
Volume :
26
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Entropy
Publication Type :
Academic Journal
Accession number :
edsdoj.3a196e31182e4362bd983df758b8f942
Document Type :
article
Full Text :
https://doi.org/10.3390/e26030254