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dc.contributor.authorSalem, Nema
dc.contributor.authorElBadawy, ElSayed
dc.date.accessioned2023-03-16T05:11:01Z
dc.date.available2023-03-16T05:11:01Z
dc.date.issued2008-07
dc.identifier.urihttp://hdl.handle.net/20.500.14131/689
dc.description.abstractWhile interlacing succeeds in reducing the transmission bandwidth, it introduces a number of high-frequency artifacts that can distract the human eye, such as flickers and thin vertical lines. Thus, a lot of de-interlacing algorithms are developed. Subjective and objective assessments of spatial and temporal de-interlacing techniques are given in this paper. Combining the benefits of the spatial and temporal algorithms, a motion detector is used to segment the frame into static and dynamic portions. The dynamic is segmented into slow- and high-motion pixels. Finally, an adaptive de-interlacing algorithm based on the results obtained from the motion detector is proposed and judged.en_US
dc.publisherThe International Institute of Informatics and Cybernetics, IIISen_US
dc.subjectVideo Processing, De-interlacing, Spatial and Temporal Filtering, Motion Detection.en_US
dc.titleVideo De-interlacing: From Spatial to Adaptive Based Motion Detectionen_US
dc.contributor.researcherNo Collaborationen_US
dc.subject.KSAICTen_US
dc.source.indexScopusen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.contributor.firstauthorSalem, Nema
dc.conference.locationOrlando, USAen_US
dc.conference.nameWorld Multiconference on Systemics, Cybernetics and Informatics (WMSCI 2008)en_US
dc.conference.date2008-06-29


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