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INFORMATICALT
2008

Robust Watermarking based on Subsampling and Nonnegative Matrix Factorization

13 years 11 months ago
Robust Watermarking based on Subsampling and Nonnegative Matrix Factorization
Abstract. This paper presents a novel robust digital image watermarking scheme using subsampling and nonnegative matrix factorization. Firstly, subsampling is used to construct a subimage sequence. Then, based on the column similarity of the subimage sequence, nonnegative matrix factorization (NMF) is applied to decompose the sequence. A Gaussian pseudo-random watermark sequence is embedded in the factorized decomposition coefficients. Because of the high similarity of subimages and meaningful factorization for NMF, the proposed scheme can achieve good robustness, especially to common permutation attacks. Numerical experiment results demonstrate the good performance of the proposed scheme.
Wei Lu, Hongtao Lu
Added 12 Dec 2010
Updated 12 Dec 2010
Type Journal
Year 2008
Where INFORMATICALT
Authors Wei Lu, Hongtao Lu
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