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An iterative algorithm for improving resolution and signal-to-noise ratio of captured noisy low-resolution diffraction fields

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dc.contributor.authorsBora Esmer G.
dc.date.accessioned2022-03-28T15:04:14Z
dc.date.accessioned2026-01-11T10:48:10Z
dc.date.available2022-03-28T15:04:14Z
dc.date.issued2014
dc.description.abstractAn iterative super-resolution algorithm, based on capturing multiple noisy low-resolution diffraction fields, is proposed. It performs windowing on the reconstructed object to improve resolution and decrease noise level on captured fields. It provides satisfactory results. © 2014 OSA.
dc.identifier.isbn9781557523082
dc.identifier.issn21622701
dc.identifier.urihttps://hdl.handle.net/11424/257001
dc.language.isoeng
dc.publisherOptical Society of American (OSA)
dc.relation.ispartofOptics InfoBase Conference Papers
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titleAn iterative algorithm for improving resolution and signal-to-noise ratio of captured noisy low-resolution diffraction fields
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.titleOptics InfoBase Conference Papers

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