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dc.contributor.authorLuo, H.
dc.contributor.authorSun, X.
dc.contributor.authorYang, H.
dc.contributor.authorXia, Z.
dc.date.accessioned2016-02-29T13:46:27Z
dc.date.available2016-02-29T13:46:27Z
dc.date.issued2011-06cs
dc.identifier.citationRadioengineering. 2011, vol. 20, č. 2, s. 525-532. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/56870
dc.description.abstractThis paper introduces a novel robust watermarking scheme for digital images, which is robust against common signal processing and geometric distortion attacks. In order to be resistant to geometric distortion attacks, the matched feature points determined by the scale-invariance feature transform (SIFT) are used for image restoration to reduce the synchronization errors caused by geometric distortion attacks. An adaptive embedding scheme is applied in discrete Fourier transform (DFT) domain of each subimage. The watermark detection decision is based on the number of matched bits between the retrieved and original watermark in the embedding image blocks. Experimental results show that the proposed watermarking is robust to common signal processing attacks and geometric distortion attacks, including rotation, scaling, cropping, shearing and some combined attacks.en
dc.formattextcs
dc.format.extent525-532cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2011/11_02_525_532.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectScale invariance feature transformen
dc.subjectgeometric attacken
dc.subjectimage restorationen
dc.subjectimage watermarken
dc.titleA Robust Image Watermarking Based on Image Restoration Using SIFTen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue2cs
dc.coverage.volume20cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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