DeepSR: a deep learning tool for image super resolution

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dc.authorid0000-0002-1351-7565en_US
dc.contributor.authorTemiz, Hakan
dc.date.accessioned2023-01-26T07:32:42Z
dc.date.available2023-01-26T07:32:42Z
dc.date.issued2023
dc.departmentAÇÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractAn open source tool is introduced that provides a versatile environment to meet the needs of re- searchers in developing deep learning (DL) algorithms for single image super-resolution reconstruction (SISR). The processes of SISR were carefully studied, unified and integrated to create software that can be used by the community for any type of imaging method such as aerial, medical, optical, etc. DeepSR allows easy implementation of SISR application with rapidly prototyped DL models, and detailed reporting and recording of the results. The entire experiment can be done with simple command line scripts. It can be easily extended by user-defined metrics, augmentations, callbacks, etc.
dc.identifier.citationTemiz, H. (2023). DeepSR: A deep learning tool for image super resolution. SoftwareX, 21. ‌en_US
dc.identifier.doi10.1016/j.softx.2022.101261
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1016/j.softx.2022.101261
dc.identifier.urihttps://hdl.handle.net/11494/4607
dc.identifier.volume21en_US
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorTemiz, Hakan
dc.language.isoenen_US
dc.publisherELSEVIERen_US
dc.relation.ispartofSoftwareX
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSoftwareen_US
dc.subjectToolen_US
dc.subjectDeep learningen_US
dc.subjectSuper-resolutionen_US
dc.subjectImageen_US
dc.titleDeepSR: a deep learning tool for image super resolutionen_US
dc.typeArticle

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