Matches in SemOpenAlex for { <https://semopenalex.org/work/W2299470528> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2299470528 endingPage "206" @default.
- W2299470528 startingPage "195" @default.
- W2299470528 abstract "A novel multi-scale noise estimation method is proposed for splicing detection.Noise level function is used to separate potential spliced segments.An Optimal Parameter Combination Searching Algorithm is proposed. Noise discrepancies in multiple scales are utilized as indicators for image splicing forgery detection in this paper. Specifically, the test image is initially segmented into superpixels of multiple scales. In each individual scale, noise level function, which reflects the relation between noise level and brightness of each segment, is computed. Those segments not constrained by the noise level function are regarded as suspicious regions. In the final step, pixels appears in suspicious regions of each scale, after necessary morphological processing, are marked as spliced region(s). The Optimal Parameter Combination Searching (OPCS) Algorithm is proposed to determine the optimal parameters during the process. Two datasets are created for training the optimal parameters and to evaluate the proposed scheme, respectively. The experimental results show that the proposed scheme is effective, especially for the multi-objects splicing. In addition, the proposed scheme is proven to be superior to the existing state-of-the-art method." @default.
- W2299470528 created "2016-06-24" @default.
- W2299470528 creator A5005772506 @default.
- W2299470528 creator A5051381076 @default.
- W2299470528 creator A5078234650 @default.
- W2299470528 date "2016-07-01" @default.
- W2299470528 modified "2023-09-30" @default.
- W2299470528 title "Multi-scale noise estimation for image splicing forgery detection" @default.
- W2299470528 cites W1967094344 @default.
- W2299470528 cites W1983586459 @default.
- W2299470528 cites W1989681537 @default.
- W2299470528 cites W1993570814 @default.
- W2299470528 cites W1994743750 @default.
- W2299470528 cites W2009437133 @default.
- W2299470528 cites W2039819441 @default.
- W2299470528 cites W2062515778 @default.
- W2299470528 cites W2068575457 @default.
- W2299470528 cites W2071794886 @default.
- W2299470528 cites W2080264113 @default.
- W2299470528 cites W2087361987 @default.
- W2299470528 cites W2087935622 @default.
- W2299470528 cites W2103534626 @default.
- W2299470528 cites W2104116677 @default.
- W2299470528 cites W2118246710 @default.
- W2299470528 cites W2119132000 @default.
- W2299470528 cites W2130225759 @default.
- W2299470528 cites W2142738546 @default.
- W2299470528 cites W2155118899 @default.
- W2299470528 cites W2155319953 @default.
- W2299470528 cites W2159736423 @default.
- W2299470528 cites W2162156567 @default.
- W2299470528 cites W2162266621 @default.
- W2299470528 cites W2163446914 @default.
- W2299470528 cites W2163773153 @default.
- W2299470528 cites W2167977504 @default.
- W2299470528 cites W2539781702 @default.
- W2299470528 cites W2134409284 @default.
- W2299470528 doi "https://doi.org/10.1016/j.jvcir.2016.03.005" @default.
- W2299470528 hasPublicationYear "2016" @default.
- W2299470528 type Work @default.
- W2299470528 sameAs 2299470528 @default.
- W2299470528 citedByCount "51" @default.
- W2299470528 countsByYear W22994705282017 @default.
- W2299470528 countsByYear W22994705282018 @default.
- W2299470528 countsByYear W22994705282019 @default.
- W2299470528 countsByYear W22994705282020 @default.
- W2299470528 countsByYear W22994705282021 @default.
- W2299470528 countsByYear W22994705282022 @default.
- W2299470528 countsByYear W22994705282023 @default.
- W2299470528 crossrefType "journal-article" @default.
- W2299470528 hasAuthorship W2299470528A5005772506 @default.
- W2299470528 hasAuthorship W2299470528A5051381076 @default.
- W2299470528 hasAuthorship W2299470528A5078234650 @default.
- W2299470528 hasConcept C115961682 @default.
- W2299470528 hasConcept C127413603 @default.
- W2299470528 hasConcept C153180895 @default.
- W2299470528 hasConcept C154945302 @default.
- W2299470528 hasConcept C201995342 @default.
- W2299470528 hasConcept C205649164 @default.
- W2299470528 hasConcept C2778755073 @default.
- W2299470528 hasConcept C31972630 @default.
- W2299470528 hasConcept C41008148 @default.
- W2299470528 hasConcept C58640448 @default.
- W2299470528 hasConcept C96250715 @default.
- W2299470528 hasConcept C99498987 @default.
- W2299470528 hasConceptScore W2299470528C115961682 @default.
- W2299470528 hasConceptScore W2299470528C127413603 @default.
- W2299470528 hasConceptScore W2299470528C153180895 @default.
- W2299470528 hasConceptScore W2299470528C154945302 @default.
- W2299470528 hasConceptScore W2299470528C201995342 @default.
- W2299470528 hasConceptScore W2299470528C205649164 @default.
- W2299470528 hasConceptScore W2299470528C2778755073 @default.
- W2299470528 hasConceptScore W2299470528C31972630 @default.
- W2299470528 hasConceptScore W2299470528C41008148 @default.
- W2299470528 hasConceptScore W2299470528C58640448 @default.
- W2299470528 hasConceptScore W2299470528C96250715 @default.
- W2299470528 hasConceptScore W2299470528C99498987 @default.
- W2299470528 hasLocation W22994705281 @default.
- W2299470528 hasOpenAccess W2299470528 @default.
- W2299470528 hasPrimaryLocation W22994705281 @default.
- W2299470528 hasRelatedWork W2005185696 @default.
- W2299470528 hasRelatedWork W2092957489 @default.
- W2299470528 hasRelatedWork W2130228941 @default.
- W2299470528 hasRelatedWork W2132132164 @default.
- W2299470528 hasRelatedWork W2161229648 @default.
- W2299470528 hasRelatedWork W2235753890 @default.
- W2299470528 hasRelatedWork W2314419244 @default.
- W2299470528 hasRelatedWork W2366116130 @default.
- W2299470528 hasRelatedWork W2889893736 @default.
- W2299470528 hasRelatedWork W2993674027 @default.
- W2299470528 hasVolume "38" @default.
- W2299470528 isParatext "false" @default.
- W2299470528 isRetracted "false" @default.
- W2299470528 magId "2299470528" @default.
- W2299470528 workType "article" @default.