Share Email Print

Proceedings Paper

Fundamental performance limits of power-spectrum condition-compliant watermarks
Author(s): Jonathan K. Su; Bernd Girod
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Our previous work introduced a stochastic framework for studying watermarking. When the receiver used direct correlation detection and the attack employed linear shift- invariant (LSI) filtering, the optimal attack consisted of Wiener filtering and adding noise. Resisting the Wiener attack led to a power-spectrum condition (PSC): the watermark and original power spectra should be directly proportional. PSC- compliant watermarks are most difficult to estimate from the watermarked document in the minimum mean-squared error sense. This paper investigates the fundamental limits of PSC- compliant watermarks; it has two main parts. First, expressions are derived for the detection-error probabilities after the Wiener attack with PSC-compliant Gaussian noise. An explicit relationship between attacked-document distortion and capacity results. The second part studies optimal LSI- filtering attacks and receivers. Because direct correlation detection is only optimal for white Gaussian noise (WGN), the Wiener attack and PSC may actually be suboptimal. It is shown that the PSC holds for a suboptimal, effective white-noise attack. The optimum attack is derived, but there does not appear to be an analytical solution for the optimum watermark power spectrum. Numerical experiments suggest that, as a rule of thumb, white watermarks perform well at lower distortions, while PSC-compliant watermarks perform better at higher distortions.

Paper Details

Date Published: 9 May 2000
PDF: 12 pages
Proc. SPIE 3971, Security and Watermarking of Multimedia Contents II, (9 May 2000); doi: 10.1117/12.384986
Show Author Affiliations
Jonathan K. Su, Univ. of Erlangen-Nuremberg (Germany)
Bernd Girod, Stanford Univ. (United States)

Published in SPIE Proceedings Vol. 3971:
Security and Watermarking of Multimedia Contents II
Ping Wah Wong; Edward J. Delp, Editor(s)

© SPIE. Terms of Use
Back to Top