Mixed Noise Removal with External Parameter in Image Denoising

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dc.contributor.authorGökrem, Levent
dc.contributor.authorErkan, Uğur
dc.date.accessioned2025-01-21T14:28:10Z
dc.date.available2025-01-21T14:28:10Z
dc.date.issued2018
dc.description.abstractIn this study,a new method has been developed on noise removal, one of the most important partsin image processing. In particular, a new noise removal filter has beendeveloped to removes noise from images the mix of µ and ? values. In thismethod, a new approach is proposed to remove noise when ? value increases while? value is constant. The filter has particularly proven to be more successfulon all of µ values. PSNR have been used to compare the results of the study.The newly developed method has been compared with the median, wiener2, Bayesianshrink, bilateral, median+bilateral, BM3D, KSVD methods. For example, whenµ-0.10 and ?-0.01 added to Lena image, other algorithms’ PSNR results are19.23-19.35, 18.90, 18.73, 19.60, 19.81, 19.70 while they are 27.06 in our newmethod.
dc.identifier.dergipark376895
dc.identifier.doi10.29137/umagd.376895
dc.identifier.issn1308-5514
dc.identifier.issue2-135
dc.identifier.startpage142
dc.identifier.urihttps://dergipark.org.tr/tr/download/article-file/507177
dc.identifier.urihttps://dergipark.org.tr/tr/pub/umagd/issue/38203/376895
dc.identifier.urihttps://doi.org/10.29137/umagd.376895
dc.identifier.urihttps://hdl.handle.net/20.500.12587/20241
dc.identifier.volume1
dc.language.isoen
dc.publisherKırıkkale Üniversitesi
dc.relation.ispartofUluslararası Mühendislik Araştırma ve Geliştirme Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectGaussian Noise
dc.subjectImage Denoising
dc.subjectNoise Removal
dc.subjectImage Enhancement
dc.titleMixed Noise Removal with External Parameter in Image Denoising
dc.typeArticle

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