Open AccessA novel zero‐watermarking approach of medical images based on Jacobian matrix model
Author(s) -
Ghadi Musab,
Laouamer Lamri,
Nana Laurent,
Pascu Anca
Publication year - 2016
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0122
pISSN - 1939-0114
DOI - 10.1002/sec.1690
Subject(s) - jacobian matrix and determinant , watermark , digital watermarking , robustness (evolution) , computer science , algorithm , image (mathematics) , encryption , artificial intelligence , construct (python library) , theoretical computer science , matrix (chemical analysis) , computer vision , computer security , mathematics , biochemistry , chemistry , materials science , composite material , gene , programming language
Ensuring the medical images authenticity becomes an essential need. This need has to keep of course two factors: (i) high robustness and (ii) low complexity in term of processing. A zero‐watermarking scheme could be a practical solution for this matter. This paper proposes a zero‐watermarking algorithm to assure the authenticity of the transmitted medical images through an e‐healthcare network. The targeted image is partitioned into 8 × 8 non‐overlapping blocks, and the Jacobian matrix model is used to construct a meaningful watermark. In order to reduce the complexity, our model does not encrypt the watermark image. The experiment results show a remarkable efficiency of the proposed model in terms of similarity, error probability, and robustness against a variety of geometric and non‐geometric attacks. Copyright © 2017 John Wiley & Sons, Ltd.