Robust watermarking based on DWT and nonnegative matrix factorization

✍ Scribed by Wei Lu; Wei Sun; Hongtao Lu

• Publisher: Elsevier Science
• Year: 2009
• Tongue: English
• Weight: 253 KB
• Volume: 35
• Category: Article
• ISSN: 0045-7906
• DOI: 10.1016/j.compeleceng.2008.09.004

✦ Synopsis

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 proposed scheme can achieve good robustness, which is also demonstrated in the following experiments.