Name
Title | ||
|---|---|---|
Coping with local geometric attacks by means of optic-flow-based resynchronization for robust watermarking |
Abstract | ||
|---|---|---|
In the last years digital watermarking has been widely indicated as a possible efficient toot to deal with multimedia copyright protection. Particularly, in the field of image watermaking, a large number or techniques has been developed aiming at hiding information within the data. After an initial phase in which the main problem was to succeed in inserting a private code which was unperceivable, successively watermarking community tried to design watermarks which presented a high level of robustness that meant the ability to be revealed also when the image had undergone different manipulations (e.g. compression, D/A-A/D conversion, filtering). Although good results have been obtained in this field, resilience against geometric manipulations, (e.g. rotation, scaling. changes of aspect ratio) is still a research issue;, furthermore robustness against Stirmark random-displacements attack in which small local geometric modifications are carried out, is still a crucial point for the majority of the so-called robust algorithms. In this paper a new approach. based on the estimation through an optic flow technique of the displacement field, correspondent to a specific geometric transformation, is proposed. This methodology can be adopted as a re-synchronization tool, to enhance robustness of digital image watermarking techniques. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1117/12.589106 | Proceedings of SPIE |
Keywords | Field | DocType |
multimedia,data hiding,aspect ratio,digital watermarking,optical flow,algorithms,digital watermark | Computer vision,Digital watermarking,Computer science,Information protection policy,Information hiding,Image processing,Robustness (computer science),Geometric transformation,Artificial intelligence,Optical flow,Copy protection | Conference |
Volume | ISSN | Citations |
5681 | 0277-786X | 2 |
PageRank | References | Authors |
0.37 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roberto Caldelli | 1 | 481 | 37.01 |
| Alessia De Rosa | 2 | 312 | 20.66 |
| R. Becarelli | 3 | 2 | 0.37 |
| M. Barni | 4 | 3091 | 246.21 |