A reversible and imperceptible watermarking scheme for MR images authentication

Qasim, A; Meziane, F; Aspin, R

Abstract

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.

Citation

Qasim, A., Meziane, F., & Aspin, R. (2018, September). A reversible and imperceptible watermarking scheme for MR images authentication. Presented at The 24th International Conference on Automation and Computing (ICAC'18), Newcastle, UK

• Presentation Conference Type: Other
• Conference Name: The 24th International Conference on Automation and Computing (ICAC'18)
• Conference Location: Newcastle, UK
• Start Date: Sep 6, 2018
• End Date: Sep 7, 2018
• Acceptance Date: Jun 14, 2018
• Deposit Date: Jul 16, 2018
• Publisher URL: http://www.cacsuk.co.uk/index.php/conferences
• Additional Information: Event Type : Conference