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dc.contributor.authorNandoriya, Ajay
dc.contributor.authorElgharib, Mohamed
dc.contributor.authorKim, Changil
dc.contributor.authorHefeeda, Mohamed
dc.contributor.authorMatusik, Wojciech
dc.date.accessioned2021-11-09T15:48:12Z
dc.date.available2021-11-09T15:48:12Z
dc.date.issued2017-10
dc.identifier.urihttps://hdl.handle.net/1721.1/137933
dc.description.abstract© 2017 IEEE. Reflections can obstruct content during video capture and hence their removal is desirable. Current removal techniques are designed for still images, extracting only one reflection (foreground) and one background layer from the input. When extended to videos, unpleasant artifacts such as temporal flickering and incomplete separation are generated. We present a technique for video reflection removal by jointly solving for motion and separation. The novelty of our work is in our optimization formulation as well as the motion initialization strategy. We present a novel spatiotemporal optimization that takes n frames as input and directly estimates 2n frames as output, n for each layer. We aim to fully utilize spatio-temporal information in our objective terms. Our motion initialization is based on iterative frame-to-frame alignment instead of the direct alignment used by current approaches. We compare against advanced video extensions of the state of the art, and we significantly reduce temporal flickering and improve separation. In addition, we reduce image blur and recover moving objects more accurately. We validate our approach through subjective and objective evaluations on real and controlled data.en_US
dc.language.isoen
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/iccv.2017.264en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleVideo Reflection Removal Through Spatio-Temporal Optimizationen_US
dc.typeArticleen_US
dc.identifier.citationNandoriya, Ajay, Elgharib, Mohamed, Kim, Changil, Hefeeda, Mohamed and Matusik, Wojciech. 2017. "Video Reflection Removal Through Spatio-Temporal Optimization."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-06-21T15:54:13Z
dspace.date.submission2019-06-21T15:54:14Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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