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dc.contributor.authorYorulmaz, O.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.date.accessioned2019-02-21T16:01:30Z
dc.date.available2019-02-21T16:01:30Z
dc.date.issued2018en_US
dc.identifier.issn1051-2004
dc.identifier.urihttp://hdl.handle.net/11693/49860
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.language.isoEnglish
dc.source.titleDigital Signal Processing: A Review Journalen_US
dc.relation.isversionofhttps://doi.org/10.1016/j.dsp.2017.11.004
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
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage36en_US
dc.citation.epage42en_US
dc.citation.volumeNumber77en_US
dc.identifier.doi10.1016/j.dsp.2017.11.004
dc.publisherElsevier
dc.contributor.bilkentauthorÇetin, A. Enis
dc.embargo.release2020-06-01en_US
dc.identifier.eissn1095-4333en_US


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