Wavelet-based method for high-frequency subband watermark embedding

Patrizio Campisi; Alessandro Neri; Marco Visconti

doi:10.1117/12.420837

22 March 2001 Wavelet-based method for high-frequency subband watermark embedding

Patrizio Campisi, Alessandro Neri, Marco Visconti

Proceedings Volume 4209, Multimedia Systems and Applications III; (2001) https://doi.org/10.1117/12.420837
Event: Information Technologies 2000, 2000, Boston, MA, United States

Abstract

In this paper a novel wavelet based robust blind watermarking scheme is presented. Taking into account the property of the human visual system, the proposed scheme embeds the watermark into the wavelet coefficients representative of the image's areas highly dense of details. More specifically a two stages unconventional wavelet decomposition is used. In fact, after having performed a 2D one-level wavelet decomposition, the high frequency wavelet subbands are further wavelet decomposed, thus obtaining those coefficients where the mark is finally embedded. Experimental results demonstrate that this embedding strategy allows to greatly increase the local ratio between the mark and the original image energies, thus leading to robustness even against severe image degradations, without transparency loss.

Citation Download Citation

Patrizio Campisi, Alessandro Neri, and Marco Visconti "Wavelet-based method for high-frequency subband watermark embedding", Proc. SPIE 4209, Multimedia Systems and Applications III, (22 March 2001); https://doi.org/10.1117/12.420837

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