Applying Erez and Ten Brink's dirty paper codes to data hiding

Pedro Comesana; Fernando Perez-Gonzalez; Frans M. J. Willems

doi:10.1117/12.587769

21 March 2005 Applying Erez and Ten Brink's dirty paper codes to data hiding

Pedro Comesana, Fernando Perez-Gonzalez, Frans M. J. Willems

Proceedings Volume 5681, Security, Steganography, and Watermarking of Multimedia Contents VII; (2005) https://doi.org/10.1117/12.587769
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

Structured codes are known to be necessary in practical implementations of capacity-approaching "dirty paper schemes." In this paper we study the performance of a recently proposed dirty paper technique, by Erez and ten Brink which, to the authors' knowledge, is firstly applied to data-hiding, and compare it with other existing approaches. Specifically, we compare it with conventional side-informed schemes previously used in data-hiding based on repetition and turbo coding. We show that a significant improvement can be achieved using Erez and ten Brink's proposal. We also study the considerations we have to take into account when these codes are used in data-hiding, mainly related with perceptual questions.

Citation Download Citation

Pedro Comesana, Fernando Perez-Gonzalez, and Frans M. J. Willems "Applying Erez and Ten Brink's dirty paper codes to data hiding", Proc. SPIE 5681, Security, Steganography, and Watermarking of Multimedia Contents VII, (21 March 2005); https://doi.org/10.1117/12.587769

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