Contemporary Approaches on No-Reference Image Quality Assessment Methods: A Comparative Study

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dc.contributor.authorYalman, Yildiray
dc.contributor.authorGuldogan, M. Burak
dc.contributor.authorSen, I. Ferdi
dc.date.accessioned2025-10-24T18:10:20Z
dc.date.available2025-10-24T18:10:20Z
dc.date.issued2012
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description9th International Conference on Electronics Computer and Computation (ICECCO 2012) -- NOV 01-03, 2012 -- Ankara, TURKEY
dc.description.abstractEven if many image quality assessment (IQA) methods have been proposed in literature, the poor standardization in the field of quality assessment and the lack of extensive and reliable comparisons of the performance of the different IQA often make the obtained results not very reliable. Basically, there are three IQA types in the literature called as full reference (FR-IQA), reduced reference (RR-IQA) and no reference (NR-IQA). NR-IQA has gained more importance in the last decade. In this paper we aim at comparing the existing NR-IQA methods in terms of quality results. Comparing results show that the current methods results are unrelated for the same images. This situation indicates that a standard should be determined for NR-IQA methods.
dc.description.sponsorshipInt Assoc Univ,Surat Technol,Yildirim Elect,BMD Solar
dc.identifier.endpage255
dc.identifier.isbn978-605-87394-6-8
dc.identifier.issn#DEĞER!
dc.identifier.startpage251
dc.identifier.urihttps://hdl.handle.net/20.500.12899/4109
dc.identifier.wosWOS:000396806300060
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherTurgut Ozal Univ
dc.relation.ispartofIcecco'12: 9th International Conference On Electronics, Computer And Computation
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20251023
dc.subjectquality assessment; image quality; no-reference image quality assessment (NR-IQA); image quality metrics
dc.titleContemporary Approaches on No-Reference Image Quality Assessment Methods: A Comparative Study
dc.typeConference Object

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