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dc.contributor.authorBjelopera, Anamaria
dc.contributor.authorDumic, Emil
dc.contributor.authorGrgic, Sonja
dc.date.accessioned2018-06-18T10:29:48Z
dc.date.available2018-06-18T10:29:48Z
dc.date.issued2017-12cs
dc.identifier.citationRadioengineering. 2017 vol. 26, č. 4, s. 930-937. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/82918
dc.description.abstractIn this paper we present new method for classification of image degradation type based on Riesz transform coefficients and Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) that employs spatial coefficients. In our method we use additional statistical parameters that gives us statistically better results for blur and all tested degradations together in comparison with previous method. A new method to determine level of blur and Gaussian noise degradation in images using statistical model of natural scene is presented. We defined parameters for evaluation of level of Gaussian noise and blur degradation in images. In real world applications reference image is usually not available therefore proposed method enables classification of image degradation by type and estimation of Gaussian noise and blur levels for any degraded image.en
dc.formattextcs
dc.format.extent930-937cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2017/17_01_0930_0937.pdfcs
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectImage degradationen
dc.subjectRiesz transformen
dc.subjectBRISQUEen
dc.subjectGaussian noiseen
dc.subjectbluren
dc.subjectlevelen
dc.titleEvaluation of Blur and Gaussian Noise Degradation in Images Using Statistical Model of Natural Scene and Perceptual Image Quality Measureen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue4cs
dc.coverage.volume26cs
dc.identifier.doi10.13164/re.2017.0930en
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Creative Commons Attribution 4.0 International
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International