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dc.contributor.authorSu, Shuochen
dc.contributor.authorHeidrich, Wolfgang
dc.date.accessioned2018-05-01T13:47:32Z
dc.date.available2015-06-07T22:00:53Z
dc.date.available2018-05-01T13:47:32Z
dc.date.issued2015-10-15
dc.identifier.citationSu, S., & Heidrich, W. (2015). Rolling shutter motion deblurring. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/cvpr.2015.7298760
dc.identifier.doi10.1109/CVPR.2015.7298760
dc.identifier.urihttp://hdl.handle.net/10754/556518
dc.description.abstractAlthough motion blur and rolling shutter deformations are closely coupled artifacts in images taken with CMOS image sensors, the two phenomena have so far mostly been treated separately, with deblurring algorithms being unable to handle rolling shutter wobble, and rolling shutter algorithms being incapable of dealing with motion blur. We propose an approach that delivers sharp and undis torted output given a single rolling shutter motion blurred image. The key to achieving this is a global modeling of the camera motion trajectory, which enables each scanline of the image to be deblurred with the corresponding motion segment. We show the results of the proposed framework through experiments on synthetic and real data.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_046.pdf
dc.rightsThis CVPR 2015 paper is the Open Access version, provided by the Computer Vision Foundation. The authoritative version of this paper is available in IEEE Xplore.
dc.titleRolling Shutter Motion Deblurring
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalProceedings of the IEEE Conference on Computer Vision and Pattern Recognition
dc.conference.date07 Jun - 12 Jun 2015
dc.conference.nameComputer Vision and Pattern Recognition (CVPR),2015
dc.conference.locationBoston, Massachusetts
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionUniversity of British Columbia
refterms.dateFOA2018-06-14T08:23:25Z
dc.date.published-online2015-10-15
dc.date.published-print2015-06


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