Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | Sörös, Gábor | |
dc.contributor.author | Münger, Severin | |
dc.contributor.author | Beltrame, Carlo | |
dc.contributor.author | Humair, Luc | |
dc.contributor.editor | Skala, Václav | |
dc.date.accessioned | 2016-01-07T09:28:16Z | |
dc.date.available | 2016-01-07T09:28:16Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Journal of WSCG. 2015, vol. 23, no. 1, p. 101-109. | en |
dc.identifier.issn | 1213–6972 (hardcopy) | |
dc.identifier.issn | 1213–6980 (CD-ROM) | |
dc.identifier.issn | 1213–6964 (online) | |
dc.identifier.uri | http://wscg.zcu.cz/WSCG2015/!_2015_Journal_WSCG-No-2.pdf | |
dc.identifier.uri | http://hdl.handle.net/11025/17154 | |
dc.format | 9 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Václav Skala - UNION Agency | cs |
dc.relation.ispartofseries | Journal of WSCG | en |
dc.rights | © Václav Skala - UNION Agency | cs |
dc.subject | odstranění rozmazání | cs |
dc.subject | deblurring | cs |
dc.subject | smartphone | cs |
dc.subject | fotoaparát | cs |
dc.subject | gyroskop | cs |
dc.subject | rozostření pohybu | cs |
dc.subject | restaurování obrazu | cs |
dc.title | Multiframe visual-inertial blur estimation and removal for unmodified smartphones | en |
dc.type | článek | cs |
dc.type | article | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.description.abstract-translated | Pictures 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.translated | blur removal | en |
dc.subject.translated | deblurring | en |
dc.subject.translated | smartphone | en |
dc.subject.translated | camera | en |
dc.subject.translated | gyroscope | en |
dc.subject.translated | motion blur | en |
dc.subject.translated | image restoration | en |
dc.type.status | Peer-reviewed | en |
Vyskytuje se v kolekcích: | Volume 23, Number 2 (2015) |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
---|---|---|---|---|
Soros.pdf | Plný text | 740,9 kB | Adobe PDF | Zobrazit/otevřít |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/17154
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