A reversible and imperceptible watermarking scheme for MR images authentication

Qasim, A, Meziane, F ORCID: https://orcid.org/0000-0001-9811-6914 and Aspin, R ORCID: https://orcid.org/0000-0002-2202-1326 2018, A reversible and imperceptible watermarking scheme for MR images authentication , in: The 24th International Conference on Automation and Computing (ICAC'18), 6-7 September 2018, Newcastle, UK.

[img] PDF - Accepted Version
Restricted to Repository staff only

Download (1MB)


This paper presents a novel reversible and imperceptible watermarking technique to detect intentional and accidental alterations within brain Magnetic Resonance (MR) images. Authentication data is embedded into the informative part of the medical image using reversible watermarking based on the Difference Expansion (DE) method. Experimental results demonstrate that the proposed scheme, whilst completely reversible, can also achieve a watermarked image with low distortion. This is realized by encoding the watermark into ‘smooth’ regions inside the Region of Interest (ROI) of the image and through eliminating the need for location map required for extracting the concealed data and reconstructing the original unmodified image. Our proposed scheme delivers highly imperceptible watermarked images, at 92.9 - 97.98 dB Peak Signal to Noise Ratio (PSNR), and exceeds the others approaches presented in previous studies. Authenticity and integrity of medical images are also guaranteed through detecting subsequent modifications applied to the watermarked images. This enhanced security measure, therefore, enables the detection of image alterations, by a reversible and imperceptible approach, that may offer increased confidence in the digital medical practices.

Item Type: Conference or Workshop Item (Paper)
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Depositing User: Prof Farid Meziane
Date Deposited: 16 Jul 2018 10:01
Last Modified: 15 Feb 2022 23:27
URI: https://usir.salford.ac.uk/id/eprint/47702

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)


Downloads per month over past year