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Conference Paper: A new bandwidth adaptive non-local kernel regression algorithm for image/video restoration and its GPU realization

TitleA new bandwidth adaptive non-local kernel regression algorithm for image/video restoration and its GPU realization
Authors
Issue Date2013
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000089
Citation
The 2013 IEEE International Symposium on Circuits and Systems (ISCAS), Beijing, China, 19-23 May 2013. In IEEE International Symposium on Circuits and Systems Proceedings, 2013, p. 1388-1391 How to Cite?
AbstractThis paper presents a new bandwidth adaptive nonlocal kernel regression (BA-NLKR) algorithm for image and video restoration. NLKR is a recent approach for improving the performance of conventional steering kernel regression (SKR) and local polynomial regression (LPR) in image/video processing. Its bandwidth, which controls the amount of smoothing, however is chosen empirically. The proposed algorithm incorporates the intersecting confidence intervals (ICI) bandwidth selection method into the framework of NLKR to facilitate automatic bandwidth selection so as to achieve better performance. A parallel implementation of the proposed algorithm is also introduced to reduce significantly its computation time. The effectiveness of the proposed algorithm is illustrated by experimental results on both single image and videos super resolution and denoising.
Persistent Identifierhttp://hdl.handle.net/10722/191597
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorWang, Cen_US
dc.contributor.authorChan, SCen_US
dc.date.accessioned2013-10-15T07:14:31Z-
dc.date.available2013-10-15T07:14:31Z-
dc.date.issued2013en_US
dc.identifier.citationThe 2013 IEEE International Symposium on Circuits and Systems (ISCAS), Beijing, China, 19-23 May 2013. In IEEE International Symposium on Circuits and Systems Proceedings, 2013, p. 1388-1391en_US
dc.identifier.isbn978-1-4673-5762-3-
dc.identifier.issn0271-4302-
dc.identifier.urihttp://hdl.handle.net/10722/191597-
dc.description.abstractThis paper presents a new bandwidth adaptive nonlocal kernel regression (BA-NLKR) algorithm for image and video restoration. NLKR is a recent approach for improving the performance of conventional steering kernel regression (SKR) and local polynomial regression (LPR) in image/video processing. Its bandwidth, which controls the amount of smoothing, however is chosen empirically. The proposed algorithm incorporates the intersecting confidence intervals (ICI) bandwidth selection method into the framework of NLKR to facilitate automatic bandwidth selection so as to achieve better performance. A parallel implementation of the proposed algorithm is also introduced to reduce significantly its computation time. The effectiveness of the proposed algorithm is illustrated by experimental results on both single image and videos super resolution and denoising.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000089-
dc.relation.ispartofIEEE International Symposium on Circuits and Systems Proceedingsen_US
dc.rightsIEEE International Symposium on Circuits and Systems. Proceedings. Copyright © IEEE.-
dc.rights©2013 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleA new bandwidth adaptive non-local kernel regression algorithm for image/video restoration and its GPU realizationen_US
dc.typeConference_Paperen_US
dc.identifier.emailWang, C: cwang@eee.hku.hken_US
dc.identifier.emailChan, SC: ascchan@hkucc.hku.hk-
dc.identifier.authorityChan, SC=rp00094en_US
dc.description.naturepublished_or_final_version-
dc.identifier.hkuros225396en_US
dc.identifier.spage1388-
dc.identifier.epage1391-
dc.publisher.placeUnited Statesen_US
dc.customcontrol.immutablesml 131106-

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