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Journal of Electronic Imaging

Data hiding in the context of lossy compression: a combined approach
Author(s): Jean-Marie Moureaux; Ludovic Guillemot
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Paper 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.

Paper Details

Date Published: 1 July 2005
PDF: 13 pages
J. Electron. Imaging. 14(3) 033017 doi: 10.1117/1.1992501
Published in: Journal of Electronic Imaging Volume 14, Issue 3
Show Author Affiliations
Jean-Marie Moureaux, Univ. Henri Poincaré Nancy I (France)
Ludovic Guillemot, Univ. Henri Poincaré Nancy I (France)


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