Implications for image watermarking of recent work in image analysis and representation

Authors:
Ana Georgina Flesia;David L. Donoho
Affiliations:
Department of Statistics, Stanford University, Stanford, CA;Department of Statistics, Stanford University, Stanford, CA
Venue:
IWDW'02 Proceedings of the 1st international conference on Digital watermarking
Year:
2002

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Abstract

Perceptual based additive watermarking algorithms have good performance in literature, while the optimal detection of such watermarks under attacks remains a problem due to the inaccurate estimation of actual noise distribution. In this paper, a hybrid watermark with low density diversity is proposed. By accurately estimating the noise shape from diversity, the detector is noise adapted and optimal detection will be achieved. The trade-off caused by this diversity is negligible.