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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/76537
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dc.contributor.authorPires, Rafael G.-
dc.contributor.authorPereira, Luis A. M.-
dc.contributor.authorMansano, Alex F.-
dc.contributor.authorPapa, João Paulo-
dc.date.accessioned2014-05-27T11:30:41Z-
dc.date.accessioned2016-10-25T18:54:05Z-
dc.date.available2014-05-27T11:30:41Z-
dc.date.available2016-10-25T18:54:05Z-
dc.date.issued2013-09-09-
dc.identifierhttp://dx.doi.org/10.1109/ISCAS.2013.6572466-
dc.identifier.citationProceedings - IEEE International Symposium on Circuits and Systems, p. 2824-2827.-
dc.identifier.issn0271-4310-
dc.identifier.urihttp://hdl.handle.net/11449/76537-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/76537-
dc.description.abstractImage restoration is a research field that attempts to recover a blurred and noisy image. Since it can be modeled as a linear system, we propose in this paper to use the meta-heuristics optimization algorithm Harmony Search (HS) to find out near-optimal solutions in a Projections Onto Convex Sets-based formulation to solve this problem. The experiments using HS and four of its variants have shown that we can obtain near-optimal and faster restored images than other evolutionary optimization approach. © 2013 IEEE.en
dc.format.extent2824-2827-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectBlurred and noisy images-
dc.subjectEvolutionary optimizations-
dc.subjectHarmony search-
dc.subjectMeta heuristics-
dc.subjectNear-optimal solutions-
dc.subjectOptimization algorithms-
dc.subjectProjections onto convex sets-
dc.subjectResearch fields-
dc.subjectAlgorithms-
dc.subjectImage reconstruction-
dc.subjectLinear systems-
dc.subjectOptimization-
dc.subjectSet theory-
dc.titleA hybrid image restoration algorithm based on Projections onto Convex Sets and Harmony Searchen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationDepartment of Computing UNESP-Univ Estadual Paulista, Bauru, São Paulo-
dc.description.affiliationUnespDepartment of Computing UNESP-Univ Estadual Paulista, Bauru, São Paulo-
dc.identifier.doi10.1109/ISCAS.2013.6572466-
dc.identifier.wosWOS:000332006803008-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofProceedings - IEEE International Symposium on Circuits and Systems-
dc.identifier.scopus2-s2.0-84883369806-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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