Name
Abstract | ||
|---|---|---|
A robust image watermarking technique is proposed in this paper. The watermarked image is obtained by modifying the maximum singular value in each image block. The robustness of the proposed algorithm is achieved from two aspects: the stability of the maximum singular values and preprocessing before watermark extraction. Zernike moments are used to estimate the rotation angle, and the translation and scaling distortions are corrected by geometric moment methods. Experimental results show that this algorithm makes a trade-off among the imperceptibility, robustness and capacity. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11427995_41 | ISI |
Keywords | Field | DocType |
rotation angle,geometric moment method,watermarked image,zernike moment,watermark extraction,maximum singular value,proposed algorithm,image block,robust image,singular value | Singular value decomposition,Steganography,Digital watermarking,Singular value,Computer science,Algorithm,Geometric transformation,Zernike polynomials,Robustness (computer science),Watermark | Conference |
Volume | ISSN | ISBN |
3495 | 0302-9743 | 3-540-25999-6 |
Citations | PageRank | References |
2 | 0.41 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haifeng Li | 1 | 379 | 18.08 |
| Shuxun Wang | 2 | 31 | 8.61 |
| Weiwei Song | 3 | 2 | 1.42 |
| Quan Wen | 4 | 3 | 1.78 |