Deconvolution using Fourier Transform phase, ℓ1 and ℓ2 balls, and filtered variation

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage17en_US
dc.citation.spage11en_US
dc.citation.volumeNumber8en_US
dc.contributor.authorYorulmaz, O.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.date.accessioned2019-02-21T16:02:01Z
dc.date.available2019-02-21T16:02:01Z
dc.date.issued2018en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractIn this article, we present a deconvolution software based on convex sets constructed from the phase of the Fourier Transform, bounded ℓ2 energy and ℓ1 energy of a given image. The iterative deconvolution algorithm is based on the method of projections onto convex sets. Another feature of the method is that it can incorporate an approximate total variation bound called filtered variation bound on the iterative deconvolution algorithm. The main purpose of this article is to introduce the open source software called projDeconv v2.
dc.description.provenanceMade available in DSpace on 2019-02-21T16:02:01Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 222869 bytes, checksum: 842af2b9bd649e7f548593affdbafbb3 (MD5) Previous issue date: 2018en
dc.identifier.doi10.1016/j.softx.2017.11.007
dc.identifier.issn2352-7110
dc.identifier.urihttp://hdl.handle.net/11693/49952
dc.language.isoEnglish
dc.publisherElsevier B.V.
dc.relation.isversionofhttps://doi.org/10.1016/j.softx.2017.11.007
dc.rightsinfo:eu-repo/semantics/openAccess
dc.source.titleSoftwareXen_US
dc.subjectDeconvolutionen_US
dc.subjectFourier Transform phaseen_US
dc.subjectProjection onto convex setsen_US
dc.subjectℓ1 ballen_US
dc.titleDeconvolution using Fourier Transform phase, ℓ1 and ℓ2 balls, and filtered variationen_US
dc.typeArticleen_US

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