Cart (Loading....) | Create Account
Close category search window
 

An Image Interpolation Based Reversible Data Hiding Method Using R-Weighted Coding

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Yalman, Y. ; Dept. of Electron. & Comput. Educ., Kocaeli Univ., Kocaeli, Turkey ; Akar, F. ; Erturk, I.

Reversible data hiding is a technique not only the secret data can be extracted from a covered image but also the cover image can be completely rebuilt after the extraction process. Therefore, it is the choice in cases of secret data hiding where the full recovery of the cover image is essential. In this paper, we propose a reversible data hiding technique based on Neighbor Mean Interpolation (NMI) method utilizing the R-weighted Coding Method (RCM). Experimental results show the practicability and superiority of the proposed method over its classical counterparts, providing high performance in terms of PSNR and data hiding capacity.

Published in:

Computational Science and Engineering (CSE), 2010 IEEE 13th International Conference on

Date of Conference:

11-13 Dec. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.