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

Using Counter-propagation Neural Network for Robust Digital Audio Watermarking in DWT Domain

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)
Chuan-Yu Chang ; Nat. Yunlin Univ. of Sci. & Technol., Yunlin ; Wen-Chih Shen ; Hung-Jen Wang

Recently, the watermarking is an important technique to protect copyright, which allows authentic watermark to be hidden in multimedia such as digital image, video and audio. In this paper, we propose a DWT-based counter-propagation neural network (CPN) for digital audio watermarking. The db4 filter of the Daubechies wavelet is applied in this paper. The coefficients obtained from 4-level db4 and the corresponding watermark is used for training the CPN. Different from the traditional methods, the watermark is embedded in the synapses of CPN instead of the original audio signal. In addition, because of the watermark is memorized in the synapses, most of the attacks are not degrade the quality of the extracted watermark image. Moreover, the watermark embedding procedure and extracting procedure are integrated into the proposed CPN. Experimental results show that the proposed method has capabilities of robustness, inaudibility and authenticity.

Published in:

Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on  (Volume:2 )

Date of Conference:

8-11 Oct. 2006

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.