Name
Abstract | ||
|---|---|---|
Based on scale space theory and an image normalization technique, a new feature-based image watermarking scheme robust to general geometric attacks is proposed in this paper. First, the Harris-Laplace detector is utilized to extract steady feature points from the host image; then, the local feature regions (LFR) are ascertained adaptively according to the characteristic scale theory, and they are normalized by an image normalization technique; finally, according to the predistortion compensation theory, several copies of the digital watermark are embedded into the nonoverlapped normalized LFR by comparing the DFT mid-frequency magnitudes. Experimental results show that the proposed scheme is not only invisible and robust against common signals processing methods such as median filtering, sharpening, noise adding, and JPEG compression etc., but also robust against the general geometric attacks such as rotation, translation, scaling, row or column removal, shearing, local geometric distortion and combination attacks etc. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.imavis.2007.10.014 | Image Vision Comput. |
Keywords | Field | DocType |
digital watermark,image features,normalization,scale space,signal processing,median filter | Normalization (image processing),Computer vision,Digital watermarking,Median filter,Normalization (statistics),Feature detection (computer vision),Pattern recognition,Feature (computer vision),Scale space,Artificial intelligence,Digital image processing,Mathematics | Journal |
Volume | Issue | ISSN |
26 | 7 | 0262-8856 |
Citations | PageRank | References |
15 | 1.14 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiang-Yang Wang | 1 | 709 | 45.24 |
| Li-Min Hou | 2 | 29 | 2.44 |
| Jun Wu | 3 | 125 | 15.66 |