Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/2113
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dc.contributor.authorDagher, Issamen_US
dc.contributor.authorHanna, Patricken_US
dc.date.accessioned2020-12-23T09:06:35Z-
dc.date.available2020-12-23T09:06:35Z-
dc.date.issued2017-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/2113-
dc.description.abstractThe ease in digital imaging has led to a decrease in image fidelity where illegal reproduction of multimedia information has become difficult to detect. The most challenging problem is to protect image copyright against illegal copies. Therefore a watermark detection process is required to verify the owner of the image. This paper proposes a blind algorithm to extract the watermark. This algorithm is robust against noise and geometric attacks for grayscale images. Robust feature points are detected using the Harris Detector. In the embedding stage, sequences are placed into regions located around feature points. The sequences used are PN, Gold and decimal. In the extraction process, image features are re-allocated using the same detector. Each feature point is used as a center of an N × N region. This region is moved horizontally and vertically within its neighboring pixels. Each move should be registered in a matrix as a correlation value of this region with the initial sequence. This procedure is repeated for all feature points till we find all the watermarked regions. The maximum correlation obtained will determine the center of the watermarked region. The proposed algorithm is robust against a wide variety of tests and is compared to other schemes.en_US
dc.format.extent2 p.en_US
dc.language.isoengen_US
dc.subjectWatermarkingen_US
dc.subjectVariable blocken_US
dc.subjectHarris detectoren_US
dc.subjectPN sequenceen_US
dc.subjectGOLD sequenceen_US
dc.subjectDecimal Sequenceen_US
dc.titleAn improved watermarking algorithm using variable block image featureen_US
dc.typeJournal Articleen_US
dc.contributor.affiliationDepartment of Computer Engineeringen_US
dc.description.volume27en_US
dc.description.issue2en_US
dc.description.startpage289en_US
dc.description.endpage300en_US
dc.date.catalogued2017-11-09-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=https://link.springer.com/content/pdf/10.1134%2FS105466181702002X.pdfen_US
dc.identifier.OlibID174871-
dc.relation.ispartoftextJournal of pattern recognition and images analysisen_US
dc.provenance.recordsourceOliben_US
Appears in Collections:Department of Computer Engineering
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