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

[+] Author Affiliations
J. M. Moureaux

University Henri Poincarè, CRAN laboratory-CNRS UMR 7039, Nancy 1-Faculté des Sciences et Technologies-BP 239, 54506 Vandoeuvre-lès-Nancy Cedex, France

L. Guillemot

University Henri Poincarè, CRAN laboratory-CNRS UMR 7039, Nancy 1-Faculté des Sciences et Technologies-BP 239, 54506 Vandoeuvre-lès-Nancy Cedex, France

J. Electron. Imaging. 14(3), 033017 (September 23, 2005). doi:10.1117/1.1992501
History: Received January 09, 2004; Revised March 08, 2005; Accepted March 24, 2005; Published September 23, 2005; Online September 23, 2005
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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 SPIE and IS&T

Citation

J. M. Moureaux and L. Guillemot
"Data hiding in the context of lossy compression: a combined approach", J. Electron. Imaging. 14(3), 033017 (September 23, 2005). ; http://dx.doi.org/10.1117/1.1992501


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