Independent component analysis for domain independent watermarking

Abstract

A new principled domain independent watermarking framework is presented. The new approach is based on embedding the message in statistically independent sources of the covertext to mimimise covertext distortion, maximise the information embedding rate and improve the method's robustness against various attacks. Experiments comparing the performance of the new approach, on several standard attacks show the current proposed approach to be competitive with other state of the art domain-specific methods.

Publication DOI: https://doi.org/10.1007/3-540-46084-5_83
Divisions: College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Additional Information: The original publication is available at www.springerlink.com
Event Title: Artificial Neural Networks 2002
Event Type: Other
Event Dates: 2002-08-28 - 2002-08-30
Uncontrolled Keywords: watermarking framework,covertext distortion,information embedding rate,Computer Science(all),Theoretical Computer Science
ISBN: 9783540440741
Last Modified: 02 Jan 2024 08:25
Date Deposited: 11 Sep 2009 15:58
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
http://www.spri ... 7h077thv8qbevj/ (Publisher URL)
PURE Output Type: Chapter
Published Date: 2002-01-01
Authors: Bounkong, Stephane
Saad, David (ORCID Profile 0000-0001-9821-2623)
Lowe, David

Download

[img]

Version: Accepted Version


Export / Share Citation


Statistics

Additional statistics for this record