Name
Abstract | ||
|---|---|---|
The detection errors undermine the credibility of a digital watermarking system. It is crucial to have a reliable detector
such that false detection rate can be minimized before digital watermarking can be widely used in the real world. An intelligent
watermark decoder using Independent Component Analysis (ICA) is proposed in this paper. The mathematical model of the detector
is given in this paper. This intelligent decoder extracts a watermark correctly without using the original image. However,
the accuracy of the watermarking extraction depends on the key and the statistical independence between the original image
and the watermark. Experimental results have demonstrated that the proposed intelligent watermarking technique is robust against
the attacks produced by Stirmark, such as cropping, filtering, image compression, rotation, scaling. It also has a good robustness
against combination of several kinds of attacks. It is indicated that this new intelligent decoder has superior advantages
over the existing ones in many aspects.
|
Year | DOI | Venue |
|---|---|---|
2003 | null | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Keywords | DocType | Volume |
IMAGE WATERMARKING,DOMAIN | Conference | 2939 |
Issue | ISSN | Citations |
null | 16113349 | 7 |
PageRank | References | Authors |
0.63 | 9 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| li zhang | 1 | 101 | 18.22 |
| Sam Kwong | 2 | 4590 | 315.78 |
| Marian Choy | 3 | 21 | 2.49 |
| WEI-WEI XIAO | 4 | 7 | 1.98 |
| Ji Zhen | 5 | 7 | 0.63 |
| Ji-hong Zhang | 6 | 7 | 0.63 |