Data hiding in the context of lossy compression: a combined approach

Jean-Marie Moureaux; Ludovic Guillemot

doi:10.1117/1.1992501

1 July 2005 Data hiding in the context of lossy compression: a combined approach

Jean-Marie Moureaux, Ludovic Guillemot

Author Affiliations +

Journal of Electronic Imaging, Vol. 14, Issue 3, 033017 (July 2005). https://doi.org/10.1117/1.1992501

Abstract

We propose a new compression-based algorithm that combines compression using lattice vector quantization (LVQ) in the wavelet domain and data hiding. It deals with two major constraints. (1) compression must not degrade the embedded mark and (2) watermarking must not affect coding performances. Our approach is based on a new multidimensional dead zone that enables us to maintain a sparse representation of the quantized wavelet coefficients, as well as a constant-entropy insertion method. Furthermore, an algorithm to estimate the quantization parameters is proposed. It leads to both variable rate encoding and bit rate adapted data hiding.

©(2005) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Jean-Marie Moureaux and Ludovic Guillemot "Data hiding in the context of lossy compression: a combined approach," Journal of Electronic Imaging 14(3), 033017 (1 July 2005). https://doi.org/10.1117/1.1992501

Published: 1 July 2005

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