https://doi.org/10.1140/epjp/s13360-026-07328-x
Regular Article
Robust image hashing scheme with RFG-GRL and chaotic encryption for content authentication
1
School of Software, Taiyuan University of Technology, 030600, Jinzhong, China
2
School of Mathematics, Chongqing Normal University, 400044, Chongqing, China
3
College of Computer Science and Technology, Taiyuan University of Technology, 030600, Jinzhong, China
a
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Received:
30
August
2025
Accepted:
14
January
2026
Published online:
28
January
2026
Abstract
In this paper, a secure image hashing algorithm is proposed for content authentication. A novel algorithm termed Robust Feature-Guided Gridded Region Localization is designed first. This algorithm is utilized to locate highly discriminative regions with both robustness and uniform distribution. Then, the local and global structural features are extracted in parallel from these regions by employing spatial-topological kernel principal component analysis and rapid structure-preserving two-dimensional principal component analysis, and are subsequently combined to form the intermediate hash. To enhance security, a two-dimensional tent cubic coupling mapping with hyperchaos is further proposed to encrypt the hash. Experimental results demonstrate that the proposed algorithm possesses good robustness and discriminative properties when compared with recent baseline algorithms.
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© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2026
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
