Introducing a weighted non-negative matrix factorization for image classification
Pattern Recognition Letters
Nonsmooth Nonnegative Matrix Factorization (nsNMF)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Attacking Subsampling-Based Watermarking
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
A More Robust Subsampling-Based Image Watermarking
IEICE - Transactions on Information and Systems
DCT-based image watermarking using subsampling
IEEE Transactions on Multimedia
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
IEEE Transactions on Neural Networks
Novel robust image watermarking based on subsampling and DWT
Multimedia Tools and Applications
A new digital image watermarking scheme based on Schur decomposition
Multimedia Tools and Applications
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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.