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DC poleHodnotaJazyk
dc.contributor.authorHu, Yanjun
dc.contributor.authorGao, Li
dc.contributor.authorMa, Xiaoping
dc.contributor.authorPan, Zhigeng
dc.contributor.authorLi, Li
dc.contributor.editorSkala, Václav
dc.date.accessioned2013-01-24T09:43:56Z
dc.date.available2013-01-24T09:43:56Z
dc.date.issued2004
dc.identifier.citationWSCG '2004: Posters: The 12-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, 2.-6. February 2004, Plzen, p. 61-64.en
dc.identifier.isbn80-903100-6-0
dc.identifier.urihttp://wscg.zcu.cz/wscg2004/Papers_2004_Poster/I79.pdf
dc.identifier.urihttp://hdl.handle.net/11025/939
dc.description.abstractA public-key asymmetric robust watermarking algorithm based on signal with special correlation characteristic is proposed in this paper. This algorithm is designed to permit pubic watermark detection while preventing the watermark from being removed without the private keys. A signal, which is pseudorandom sequence with special auto-correlation characteristic, is used as watermark, and the signal’s characteristic is the foundation of this algorithm. Therefore we first construct the method of generating the pseudorandom sequence and prove its auto-correlation characteristic. Then we describe the algorithm in detail. Experiment results show that the algorithm is valid and robust to common signal distortions and malicious attacks.en
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherUNION Agencyen
dc.relation.ispartofseriesWSCG '2004: Postersen
dc.rights© UNION Agencycs
dc.subjectveřejný klíčcs
dc.subjectrobustní vodoznakycs
dc.subjectpseudonáhodné sekvencecs
dc.subjectautokorelacecs
dc.titleA public-key asymmetric robust watermarking algorithm based on signal with special correlation characteristicen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedpublic keyen
dc.subject.translatedrobust watermarkingen
dc.subject.translatedpseudorandom sequenceen
dc.subject.translatedautocorrelationen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:WSCG '2004: Posters

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