Complementary Sets of Shutter Sequences for Motion Deblurring

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dc.contributor.authorJeon, Hae Gonko
dc.contributor.authorLee, Joon Youngko
dc.contributor.authorHan, Yudeogko
dc.contributor.authorKim, Seon Jooko
dc.contributor.authorKweon, In Soko
dc.date.accessioned2016-04-18T04:41:06Z-
dc.date.available2016-04-18T04:41:06Z-
dc.date.created2015-11-24-
dc.date.created2015-11-24-
dc.date.created2015-11-24-
dc.date.issued2015-12-16-
dc.identifier.citationIEEE International Conference on Computer Vision (ICCV 2015)-
dc.identifier.urihttp://hdl.handle.net/10203/204132-
dc.description.abstractIn this paper, we present a novel multi-image motion deblurring method utilizing the coded exposure technique. The key idea of our work is to capture video frames with a set of complementary fluttering patterns to preserve spatial frequency details. We introduce an algorithm for generating a complementary set of binary sequences based on the modern communication theory and implement the coded exposure video system with an off-the-shelf machine vision camera. The effectiveness of our method is demonstrated on various challenging examples with quantitative and qualitative comparisons to other computational image capturing methods used for image deblurring.-
dc.languageEnglish-
dc.publisherIEEE Computer Society and the Computer Vision Foundation (CVF)-
dc.titleComplementary Sets of Shutter Sequences for Motion Deblurring-
dc.typeConference-
dc.identifier.wosid000380414100396-
dc.identifier.scopusid2-s2.0-84973878583-
dc.type.rimsCONF-
dc.citation.publicationnameIEEE International Conference on Computer Vision (ICCV 2015)-
dc.identifier.conferencecountryCL-
dc.identifier.conferencelocationSantiago de Chile-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorKweon, In So-
dc.contributor.nonIdAuthorHan, Yudeog-
dc.contributor.nonIdAuthorKim, Seon Joo-
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