Key-dependent pyramidal wavelet domains for secure watermark embedding

Werner Michael Dietl; Peter Meerwald; Andreas Uhl

doi:10.1117/12.476817

20 June 2003 Key-dependent pyramidal wavelet domains for secure watermark embedding

Werner Michael Dietl, Peter Meerwald, Andreas Uhl

Proceedings Volume 5020, Security and Watermarking of Multimedia Contents V; (2003) https://doi.org/10.1117/12.476817
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

Wavelet filters can be parametrized to create an entire family of different wavelet filters. We discuss wavelet filter parametrization as a means to add security to wavelet based watermarking schemes. We analyze the influence of the number of filter parameters and use non-stationary multi-resolution decomposition where different wavelet filters are used at different levels of the decomposition. Using JPEG and JPEG2000 compression we assess the normalized correlation and Peak Signal to Noise Ratio (PSNR) behavior of the watermarks. The security against unauthorized detection is also investigated. We conclude that the proposed systems show good robustness against compression and depending on the resolution we choose for the parameters we get between 2⁹⁹ and 2¹⁸⁵ possible keys.

Citation Download Citation

Werner Michael Dietl, Peter Meerwald, and Andreas Uhl "Key-dependent pyramidal wavelet domains for secure watermark embedding", Proc. SPIE 5020, Security and Watermarking of Multimedia Contents V, (20 June 2003); https://doi.org/10.1117/12.476817

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