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2006 IEEE International Conference on Multimedia and Expo
Self-Embedding Data Hiding for Non-Gaussian State-Dependent Channels: Laplacian Case
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
O. Koval, CVML, CUI-University of Geneva, 24, rue du G?n?ral-Dufour, 1211 Geneva 4, Switzerland. Email: koval@cui.unige.ch
S. Voloshynovskiy, CVML, CUI-University of Geneva, 24, rue du G?n?ral-Dufour, 1211 Geneva 4, Switzerland. Email: svolos@cui.unige.ch
T. Pun, CVML, CUI-University of Geneva, 24, rue du G?n?ral-Dufour, 1211 Geneva 4, Switzerland. Email: Thierry.Pun@cui.unige.ch
In this paper, we consider the problem of optimal self-embedding Lapalcian data hiding for the state-dependent channels. In particular, we propose to decompose the Laplacian data using the paradigm of parallel source splitting. Experimental validation confirms the efficiency of the proposed approach.
Citation:
O. Koval, S. Voloshynovskiy, T. Pun, "Self-Embedding Data Hiding for Non-Gaussian State-Dependent Channels: Laplacian Case," icme, pp.845-848, 2006 IEEE International Conference on Multimedia and Expo, 2006
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