High resolution image reconstruction using mean field annealing

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dc.contributor.author Numnonda, Thanachart en
dc.contributor.author Andrews, Mark en
dc.date.accessioned 2009-06-16T01:53:11Z en
dc.date.available 2009-06-16T01:53:11Z en
dc.date.issued 1994 en
dc.identifier.citation Proceedings of the 4th IEEE Workshop on Neural Networks for Signal Processing (NNSP'94), Ermioni, GREECE, 441-450. (1994) en
dc.identifier.uri http://hdl.handle.net/2292/4415 en
dc.description An open access copy of this article is available and complies with the copyright holder/publisher conditions. en
dc.description.abstract A high resolution image can be reconstructed from a sequence of lower resolution frames of the same scene where each frame taken by the camera is offset by a subpixel displacement. In this paper, it is shown that such a reconstruction task can be cast as an optimisation problem, and that a reconstruction can be found using the mean field annealing algorithm. The proposed technique has the added advantage over existing techniques of not requiring the registration of the displacement of each low resolution frame. In addition, the proposed technique greatly reduces the required computation as compared to a simulated annealing approach en
dc.publisher IEEE en
dc.relation.ispartof Neural Networks for Signal Processing - Proceedings of the IEEE Workshop en
dc.rights 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. Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title High resolution image reconstruction using mean field annealing en
dc.type Conference Paper en
dc.subject.marsden Fields of Research::290000 Engineering and Technology en
dc.identifier.doi 10.1109/NNSP.1994.366026 en
pubs.begin-page 441-450. en
dc.description.version VoR - Version of Record en
dc.rights.holder Copyright IEEE en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en


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