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Proceedings Paper

Image compression and watermarking using lattice vector quantization
Author(s): Jean-Marie Moureaux; Ludovic Guillemot
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Paper Abstract

In this paper, we propose a new algorithm which combines compression using Lattice Vector Quantization and Watermarking. It has been motivated by the fact that lossy compression tends to remove useless or non visible information while watermarking aims at inserting invisible information. We show that this combined approach enables to improve robustness to attacks like additional JPEG compression, as well as median filtering or white noise. Furthermore it is of low complexity and offers a wide range of channel capacities according to robustness.

Paper Details

Date Published: 29 April 2002
PDF: 11 pages
Proc. SPIE 4675, Security and Watermarking of Multimedia Contents IV, (29 April 2002); doi: 10.1117/12.465320
Show Author Affiliations
Jean-Marie Moureaux, CNRS and Univ. Henri Poincare Nancy I (France)
Ludovic Guillemot, CNRS and Univ. Henri Poincare Nancy I (France)

Published in SPIE Proceedings Vol. 4675:
Security and Watermarking of Multimedia Contents IV
Edward J. Delp; Ping Wah Wong, Editor(s)

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