An investigation of robustness in nonlinear audio watermarking

Finbarr B. O'Donovan; Neil J. Hurley; Guenole C. M. Silvestre

doi:10.1117/12.587197

21 March 2005 An investigation of robustness in nonlinear audio watermarking

Finbarr B. O'Donovan, Neil J. Hurley, Guenole C. M. Silvestre

Proceedings Volume 5681, Security, Steganography, and Watermarking of Multimedia Contents VII; (2005) https://doi.org/10.1117/12.587197
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

In spread-spectrum watermarking, the watermarked document is obtained from the addition of an attenuated watermark signal to a cover multimedia document. A traditional strategy consists of optimising the detector for a given embedding function. In general, this leads to sub-optimal detection and much improvement can be obtained by exploiting side-information available at the embedder. In some prior art, the authors showed that for blind detection of low-power signals, maximum detection power is obtained to first order by setting the watermark signal to the gradient of the detector. In the first part of the paper, we develop this idea further and extend Costa's decoding theory to the problem of watermarking detection. In the second part, we propose a practical implementation of this work using non-linear detectors based on our family of polynomial functions which demonstrate some improved performance of the technique. Finally, the robustness of our side-informed scheme is assessed by computer simulations on real audio signals in the presence of additive, multiplicative and coloured noise resulting from perceptual coding for a low watermark to content power ratio.

Citation Download Citation

Finbarr B. O'Donovan, Neil J. Hurley, and Guenole C. M. Silvestre "An investigation of robustness in nonlinear audio watermarking", Proc. SPIE 5681, Security, Steganography, and Watermarking of Multimedia Contents VII, (21 March 2005); https://doi.org/10.1117/12.587197

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available