Ranking medical image watermarking algorithms using the fuzzy analytical hierarchy process Online publication date: Mon, 21-Aug-2017
by Morteza Ebrahimi; Sayyed Hamid-Reza Ahmadi; Ghazal PourEbrahim; Ahmad Foroozani
International Journal of Operational Research (IJOR), Vol. 30, No. 1, 2017
Abstract: Watermarking algorithms are used to make medical images resistant to tampering. Such algorithms are able to detect and localise the tampering and even recover the original image. In this paper, a new perspective is established for the ranking of the tamper localisation and tamper recovery algorithms. A multi-criteria decision-making model is introduced based on the performance criteria of such algorithms, and the fuzzy analytical hierarchy process is used for ranking of the algorithms based on the introduced model. The performance criteria used for the ranking include the peak signal to noise ratio (PSNR), the bit rate required for the reconstruction of the image, success in localisation, capacity, and the maximum size of the region of interest that can be recovered. Results show which algorithm is more successful than other algorithms in tamper detection, localisation and reconstruction of the image.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Operational Research (IJOR):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook