FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2069201750> ?p ?o ?g. }

• W2069201750 endingPage "578" @default.
• W2069201750 startingPage "567" @default.
• W2069201750 abstract "In this paper we show that, contrary to the common belief found in some of the literature, Tchebichef moments are more sensitive to image additive noise than Zernike moments. We examine the problem of noisy image reconstruction by the method of orthogonal moments. We comparatively show this by imposing different types and levels of noise on various images and by measuring the error due to the added noise alone after image reconstruction. Here the error due to the added noise alone is defined, quantified and calculated by subtracting the noise-free image reconstruction error from the total noisy reconstructed error, which includes both reconstruction and added noise errors. The reconstruction error is with respect to a given original non-noisy image. A reconstruction measure metric for better evaluating the sensitivity of orthogonal moments towards noise added to images, namely accumulative relative error, is also introduced and proposed. As a result of this noise analysis study, we also present an empirical comparative study of Tchebichef and Zernike moments in image watermarking applications. In particular, we consider the case of moment-based watermarking schemes involving moment watermarks being embedded in a given carrier image moments. We show that the Tchebichef moments of a given image are more sensitive to image malicious and intended manipulations than Zernike moments, and hence are more capable of detecting tampering performed on watermarked images during transmission. However, this suggests and will most likely make Zernike orthogonal moments more suitable as moment descriptors employed as pattern features in scene registration, recognition, modeling, and data compression in noisy scenes, than Tchebitchef moments." @default.
• W2069201750 created "2016-06-24" @default.
• W2069201750 creator A5001646142 @default.
• W2069201750 creator A5004552977 @default.
• W2069201750 date "2013-07-01" @default.
• W2069201750 modified "2023-10-18" @default.
• W2069201750 title "Analysis of noise sensitivity of Tchebichef and Zernike moments with application to image watermarking" @default.
• W2069201750 cites W1987104986 @default.
• W2069201750 cites W1998114890 @default.
• W2069201750 cites W2038998314 @default.
• W2069201750 cites W2055755574 @default.
• W2069201750 cites W2065395123 @default.
• W2069201750 cites W2070142853 @default.
• W2069201750 cites W2071777533 @default.
• W2069201750 cites W2086936614 @default.
• W2069201750 cites W2091861591 @default.
• W2069201750 cites W2092661076 @default.
• W2069201750 cites W2101530800 @default.
• W2069201750 cites W2112256856 @default.
• W2069201750 cites W2124041826 @default.
• W2069201750 cites W2126191547 @default.
• W2069201750 cites W2130881520 @default.
• W2069201750 cites W2132971215 @default.
• W2069201750 cites W2133161341 @default.
• W2069201750 cites W2137988435 @default.
• W2069201750 cites W2141860324 @default.
• W2069201750 cites W2143264331 @default.
• W2069201750 cites W2147995369 @default.
• W2069201750 cites W2152215057 @default.
• W2069201750 cites W2153531593 @default.
• W2069201750 cites W2153615901 @default.
• W2069201750 cites W2155285666 @default.
• W2069201750 cites W2158986121 @default.
• W2069201750 cites W2160744413 @default.
• W2069201750 doi "https://doi.org/10.1016/j.jvcir.2013.03.021" @default.
• W2069201750 hasPublicationYear "2013" @default.
• W2069201750 type Work @default.
• W2069201750 sameAs 2069201750 @default.
• W2069201750 citedByCount "28" @default.
• W2069201750 countsByYear W20692017502015 @default.
• W2069201750 countsByYear W20692017502016 @default.
• W2069201750 countsByYear W20692017502017 @default.
• W2069201750 countsByYear W20692017502018 @default.
• W2069201750 countsByYear W20692017502019 @default.
• W2069201750 countsByYear W20692017502020 @default.
• W2069201750 countsByYear W20692017502021 @default.
• W2069201750 countsByYear W20692017502022 @default.
• W2069201750 countsByYear W20692017502023 @default.
• W2069201750 crossrefType "journal-article" @default.
• W2069201750 hasAuthorship W2069201750A5001646142 @default.
• W2069201750 hasAuthorship W2069201750A5004552977 @default.
• W2069201750 hasConcept C108311513 @default.
• W2069201750 hasConcept C11413529 @default.
• W2069201750 hasConcept C115961682 @default.
• W2069201750 hasConcept C120665830 @default.
• W2069201750 hasConcept C121332964 @default.
• W2069201750 hasConcept C127413603 @default.
• W2069201750 hasConcept C149539972 @default.
• W2069201750 hasConcept C150817343 @default.
• W2069201750 hasConcept C153180895 @default.
• W2069201750 hasConcept C154945302 @default.
• W2069201750 hasConcept C165699331 @default.
• W2069201750 hasConcept C179254644 @default.
• W2069201750 hasConcept C21200559 @default.
• W2069201750 hasConcept C24326235 @default.
• W2069201750 hasConcept C31972630 @default.
• W2069201750 hasConcept C33923547 @default.
• W2069201750 hasConcept C35772409 @default.
• W2069201750 hasConcept C41008148 @default.
• W2069201750 hasConcept C74650414 @default.
• W2069201750 hasConcept C92423082 @default.
• W2069201750 hasConcept C9417928 @default.
• W2069201750 hasConcept C99498987 @default.
• W2069201750 hasConceptScore W2069201750C108311513 @default.
• W2069201750 hasConceptScore W2069201750C11413529 @default.
• W2069201750 hasConceptScore W2069201750C115961682 @default.
• W2069201750 hasConceptScore W2069201750C120665830 @default.
• W2069201750 hasConceptScore W2069201750C121332964 @default.
• W2069201750 hasConceptScore W2069201750C127413603 @default.
• W2069201750 hasConceptScore W2069201750C149539972 @default.
• W2069201750 hasConceptScore W2069201750C150817343 @default.
• W2069201750 hasConceptScore W2069201750C153180895 @default.
• W2069201750 hasConceptScore W2069201750C154945302 @default.
• W2069201750 hasConceptScore W2069201750C165699331 @default.
• W2069201750 hasConceptScore W2069201750C179254644 @default.
• W2069201750 hasConceptScore W2069201750C21200559 @default.
• W2069201750 hasConceptScore W2069201750C24326235 @default.
• W2069201750 hasConceptScore W2069201750C31972630 @default.
• W2069201750 hasConceptScore W2069201750C33923547 @default.
• W2069201750 hasConceptScore W2069201750C35772409 @default.
• W2069201750 hasConceptScore W2069201750C41008148 @default.
• W2069201750 hasConceptScore W2069201750C74650414 @default.
• W2069201750 hasConceptScore W2069201750C92423082 @default.
• W2069201750 hasConceptScore W2069201750C9417928 @default.
• W2069201750 hasConceptScore W2069201750C99498987 @default.
• W2069201750 hasIssue "5" @default.
• W2069201750 hasLocation W20692017501 @default.
• W2069201750 hasOpenAccess W2069201750 @default.

• next