Watermarking of audio signals using independent component analysis


A novel approach to watermarking of audio signals using Independent Component Analysis (ICA) is proposed. It exploits the statistical independence of components obtained by practical ICA algorithms to provide a robust watermarking scheme with high information rate and low distortion. Numerical simulations have been performed on audio signals, showing good robustness of the watermark against common attacks with unnoticeable distortion, even for high information rates. An important aspect of the method is its domain independence: it can be used to hide information in other types of data, with minor technical adaptations.

Publication DOI: https://doi.org/10.1109/WDM.2003.1233877
Divisions: College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Additional Information: ©2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Event Title: Third International Conference on WEB Delivering of Music
Event Type: Other
Event Dates: 2003-09-17 - 2003-09-17
Uncontrolled Keywords: Independent Component Analysis (ICA),watermarking,Numerical simulations
ISBN: 0769519350
Last Modified: 11 Jan 2024 08:21
Date Deposited: 11 Sep 2009 11:04
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
http://ieeexplo ... &isnumber=27650 (Publisher URL)
PURE Output Type: Chapter
Published Date: 2003-09-17
Authors: Toch, Boremi
Lowe, David
Saad, David (ORCID Profile 0000-0001-9821-2623)



Version: Published Version

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