Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
SINGH, A. RAGHUVANSHI, N. DUTTA, M. BURGET, R. MAŠEK, J.
Originální název
An SVD Based Zero Watermarking Scheme for Authentication of Medical Images for Tele-medicine Applications
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The proposed work presents a zero watermarking method for to solve the issue of medical image security for telemedicine, tele-radiology & tele-opthalmology applications. This method provides medical image security for tele-medicine application without tempering the medical image and no loss of clinical information. Local features in the Singular value decomposition (SVD) domain are used to generate a digital binary code (Master Share) for each fundus image. This master share is strategically combined with encrypted patient ID resulting into a secret share. At the diagnosis centre the patient ID can be accurately recovered by the authorized person only on access of the generated Secret Share. The proposed zero watermarking method is tested on the publically available DRIVE dataset of fundus image and results achieved are encouraging in the direction of medical image identification and verification.
Klíčová slova
Medical image security; Tele-medicine application; Patient verification; Zero watermarking; fundus image processing.
Autoři
SINGH, A.; RAGHUVANSHI, N.; DUTTA, M.; BURGET, R.; MAŠEK, J.
Vydáno
27. 6. 2016
Místo
Vídeň
ISBN
978-1-5090-1287-9
Kniha
Proceedings of the 39th International Conference on Telecommunication and Signal Processing, TSP 2016
Strany od
511
Strany do
514
Strany počet
4
URL
https://ieeexplore.ieee.org/abstract/document/7760932
BibTex
@inproceedings{BUT126585, author="Anushikha {Singh} and Namrata {Raghuvanshi} and Malay Kishore {Dutta} and Radim {Burget} and Jan {Mašek}", title="An SVD Based Zero Watermarking Scheme for Authentication of Medical Images for Tele-medicine Applications", booktitle="Proceedings of the 39th International Conference on Telecommunication and Signal Processing, TSP 2016", year="2016", pages="511--514", address="Vídeň", doi="10.1109/TSP.2016.7760932", isbn="978-1-5090-1287-9", url="https://ieeexplore.ieee.org/abstract/document/7760932" }