Registration Based Non-uniform Motion Deblurring

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dc.contributor.authorCho, Sunghyunen_US
dc.contributor.authorCho, Hojinen_US
dc.contributor.authorTai, Yu-Wingen_US
dc.contributor.authorLee, Seungyongen_US
dc.contributor.editorC. Bregler, P. Sander, and M. Wimmeren_US
dc.date.accessioned2015-02-28T08:14:31Z
dc.date.available2015-02-28T08:14:31Z
dc.date.issued2012en_US
dc.description.abstractThis paper proposes an algorithm which uses image registration to estimate a non-uniform motion blur point spread function (PSF) caused by camera shake. Our study is based on a motion blur model which models blur effects of camera shakes using a set of planar perspective projections (i.e., homographies). This representation can fully describe motions of camera shakes in 3D which cause non-uniform motion blurs. We transform the non-uniform PSF estimation problem into a set of image registration problems which estimate homographies of the motion blur model one-by-one through the Lucas-Kanade algorithm. We demonstrate the performance of our algorithm using both synthetic and real world examples. We also discuss the effectiveness and limitations of our algorithm for non-uniform deblurring.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume31
dc.identifier.doi10.1111/j.1467-8659.2012.03211.x
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2012.03211.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titleRegistration Based Non-uniform Motion Deblurringen_US
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