Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A novel Fresnlet based robust data hiding algorithm for medical images

Authors
Nazeer, MuhammadKim, Dai-Gyoung
Issue Date
Dec-2011
Publisher
IEEE
Keywords
data hiding; embdedding; extraction; Fresnelet; internet; security; wavelet
Citation
IST 2012 - 2012 IEEE International Conference on Imaging Systems and Techniques, Proceedings, pp 213 - 216
Pages
4
Indexed
SCOPUS
Journal Title
IST 2012 - 2012 IEEE International Conference on Imaging Systems and Techniques, Proceedings
Start Page
213
End Page
216
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/36263
DOI
10.1109/IST.2012.6295590
ISSN
0000-0000
Abstract
Robust solutions are recently needed to handle the unusual modification of extensively distributed medical information images. If a medical information image is modified, it may cause to have wrong diagnosis that may arouse a serious problem. Moreover, medical images of digital form are easy to alter for illegal purposes. For instance, by wiping off or adding small information intentionally, it is possible to modify the digital medical images for certain illegal purposes; like insurance claims etc. Hence, the reliability of medical image is an important criterion in a Hospital Information System (HIS). In this paper Fresnelet transform is used for secure distribution of medical images based on Fresnelet coefficient. The experimental results exhibit the high imperceptibility for host image and the significant robustness of embedded image. © 2012 IEEE.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY > ERICA 수리데이터사이언스학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Dai-Gyoung photo

Kim, Dai-Gyoung
ERICA 소프트웨어융합대학 (ERICA 수리데이터사이언스학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE