English
Robust watermarking based on DWT and nonnegative matrix factorization
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资源说明：This paper presents a novel blind robust digital image watermarking scheme using nonnegative
matrix factorization (NMF) in DWT domain. Firstly, the original image is transformed
into some subband coefficients using discrete wavelet transformation (DWT),
and then a Gaussian pseudo-random watermark sequence is embedded in the factorized
decomposition coefficients using NMF. Because of the multiresolution decomposition for
DWT and physically meaningful factorization for NMF, the prop
matrix factorization (NMF) in DWT domain. Firstly, the original image is transformed
into some subband coefficients using discrete wavelet transformation (DWT),
and then a Gaussian pseudo-random watermark sequence is embedded in the factorized
decomposition coefficients using NMF. Because of the multiresolution decomposition for
DWT and physically meaningful factorization for NMF, the prop
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