A novel zero-watermarking approach of medical images based on Jacobian matrix model

Abstract

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.