Name
Title | ||
|---|---|---|
Combating desynchronization attacks on blind watermarking systems: A message passing approach |
Abstract | ||
|---|---|---|
We address the question of constructing practical blind watermark decoders that are resilient to scaling and amplitude modulation attacks. We cast the watermark decoding problem as a probabilistic inference problem on a factor graph and solve it via message passing. Our decoder performs nearly as well as a decoder that has exact knowledge of the desynchronization parameters. Experimental results, on both synthetic and natural images, suggest that the decoding algorithm is capable of handling moderate to strong desynchronization attacks very well. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICIP.2009.5414272 | ICIP |
Keywords | Field | DocType |
exact knowledge,desynchronization attacks,image coding,synthetic image,amplitude modulation attacks,factor graph,watermarking,strong desynchronization attack,inference mechanisms,natural images,watermark decoding problem,practical blind watermark decoder system,practical blind watermark decoder,probabilistic inference problem,message passing approach,desynchronization parameter,amplitude modulation,decoding algorithm,graph theory,forney-style factor graphs,message passing,blind watermarking system,amplitude modulation attack,markov random fields,decoding,synchronisation,pixel,estimation | Digital watermarking,Computer science,Watermark,Theoretical computer science,Artificial intelligence,Message passing,Graph theory,Factor graph,Synchronization,Pattern recognition,Algorithm,Amplitude modulation,Decoding methods | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4244-5655-0 | 978-1-4244-5655-0 | 0 |
PageRank | References | Authors |
0.34 | 9 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shankar Sadasivam | 1 | 5 | 2.13 |
| P. Moulin | 2 | 270 | 34.41 |