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dc.contributor.authorWadhwa, Neal
dc.contributor.authorRubinstein, Michael
dc.contributor.authorDurand, Fredo
dc.contributor.authorFreeman, William T.
dc.date.accessioned2015-11-24T13:27:34Z
dc.date.available2015-11-24T13:27:34Z
dc.date.issued2014-05
dc.identifier.isbn978-1-4799-5188-8
dc.identifier.urihttp://hdl.handle.net/1721.1/100016
dc.description.abstractWe present a new compact image pyramid representation, the Riesz pyramid, that can be used for real-time phase-based motion magnification. Our new representation is less overcomplete than even the smallest two orientation, octave-bandwidth complex steerable pyramid, and can be implemented using compact, efficient linear filters in the spatial domain. Motion-magnified videos produced with this new representation are of comparable quality to those produced with the complex steerable pyramid. When used with phase-based video magnification, the Riesz pyramid phase-shifts image features along only their dominant orientation rather than every orientation like the complex steerable pyramid.en_US
dc.description.sponsorshipQuanta Computer (Firm)en_US
dc.description.sponsorshipShell Researchen_US
dc.description.sponsorshipNational Science Foundation (U.S.) (CGV-1111415)en_US
dc.description.sponsorshipMicrosoft Research (PhD Fellowship)en_US
dc.description.sponsorshipMassachusetts Institute of Technology. Department of Mathematicsen_US
dc.description.sponsorshipNational Science Foundation (U.S.). Graduate Research Fellowship (Grant 1122374)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICCPHOT.2014.6831820en_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.titleRiesz pyramids for fast phase-based video magnificationen_US
dc.typeArticleen_US
dc.identifier.citationWadhwa, Neal, Michael Rubinstein, Fredo Durand, and William T. Freeman. “Riesz Pyramids for Fast Phase-Based Video Magnification.” 2014 IEEE International Conference on Computational Photography (ICCP) (May 2014).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematicsen_US
dc.contributor.mitauthorWadhwa, Nealen_US
dc.contributor.mitauthorRubinstein, Michaelen_US
dc.contributor.mitauthorDurand, Fredoen_US
dc.contributor.mitauthorFreeman, William T.en_US
dc.relation.journalProceedings of the 2014 IEEE International Conference on Computational Photography (ICCP)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsWadhwa, Neal; Rubinstein, Michael; Durand, Fredo; Freeman, William T.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-3707-3807
dc.identifier.orcidhttps://orcid.org/0000-0002-2902-6752
dc.identifier.orcidhttps://orcid.org/0000-0001-9919-069X
dc.identifier.orcidhttps://orcid.org/0000-0002-2231-7995
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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