A Novel STDM Watermarking Using Visual Saliency-Based JND Model
AbstractThe just noticeable distortion (JND) model plays an important role in measuring the visual visibility for spread transform dither modulation (STDM) watermarking. However, the existing JND model characterizes the suprathreshold distortions with an equal saliency level. Visual saliency (VS) has been widely studied by psychologists and computer scientists during the last decade, where the distortions are more likely to be noticeable to any viewer. With this consideration, we proposed a novel STDM watermarking method for a monochrome image by exploiting a visual saliency-based JND model. In our proposed JND model, a simple VS model is employed as a feature to reflect the importance of a local region and compute the final JND map. Extensive experiments performed on the classic image databases demonstrate that the proposed watermarking scheme works better in terms of the robustness than other related methods. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Wang, C.; Zhang, T.; Wan, W.; Han, X.; Xu, M. A Novel STDM Watermarking Using Visual Saliency-Based JND Model. Information 2017, 8, 103.
Wang C, Zhang T, Wan W, Han X, Xu M. A Novel STDM Watermarking Using Visual Saliency-Based JND Model. Information. 2017; 8(3):103.Chicago/Turabian Style
Wang, Chunxing; Zhang, Teng; Wan, Wenbo; Han, Xiaoyue; Xu, Meiling. 2017. "A Novel STDM Watermarking Using Visual Saliency-Based JND Model." Information 8, no. 3: 103.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.