Full metadata record
DC poleHodnotaJazyk
dc.contributor.authorSörös, Gábor
dc.contributor.authorMünger, Severin
dc.contributor.authorBeltrame, Carlo
dc.contributor.authorHumair, Luc
dc.contributor.editorSkala, Václav
dc.date.accessioned2016-01-07T09:28:16Z
dc.date.available2016-01-07T09:28:16Z
dc.date.issued2015
dc.identifier.citationJournal of WSCG. 2015, vol. 23, no. 1, p. 101-109.en
dc.identifier.issn1213–6972 (hardcopy)
dc.identifier.issn1213–6980 (CD-ROM)
dc.identifier.issn1213–6964 (online)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2015/!_2015_Journal_WSCG-No-2.pdf
dc.identifier.urihttp://hdl.handle.net/11025/17154
dc.format9 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectodstranění rozmazánícs
dc.subjectdeblurringcs
dc.subjectsmartphonecs
dc.subjectfotoaparátcs
dc.subjectgyroskopcs
dc.subjectrozostření pohybucs
dc.subjectrestaurování obrazucs
dc.titleMultiframe visual-inertial blur estimation and removal for unmodified smartphonesen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedPictures and videos taken with smartphone cameras often suffer from motion blur due to handshake during the exposure time. Recovering a sharp frame from a blurry one is an ill-posed problem but in smartphone applications additional cues can aid the solution. We propose a blur removal algorithm that exploits information from subsequent camera frames and the built-in inertial sensors of an unmodified smartphone. We extend the fast non-blind uniform blur removal algorithm of Krishnan and Fergus to non-uniform blur and to multiple input frames. We estimate piecewise uniform blur kernels from the gyroscope measurements of the smartphone and we adaptively steer our multiframe deconvolution framework towards the sharpest input patches. We show in qualitative experiments that our algorithm can remove synthetic and real blur from individual frames of a degraded image sequence within a few seconds.en
dc.subject.translatedblur removalen
dc.subject.translateddeblurringen
dc.subject.translatedsmartphoneen
dc.subject.translatedcameraen
dc.subject.translatedgyroscopeen
dc.subject.translatedmotion bluren
dc.subject.translatedimage restorationen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 23, Number 2 (2015)

Soubory připojené k záznamu:
Soubor Popis VelikostFormát 
Soros.pdfPlný text740,9 kBAdobe PDFZobrazit/otevřít


Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam: http://hdl.handle.net/11025/17154

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.