Adaptive right median filter for salt-and-pepper noise removal

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dc.authorid0000-0002-2481-0230en_US
dc.contributor.authorErkan, Uğur
dc.contributor.authorGökrem, Levent
dc.contributor.authorEnginoğlu, Serdar
dc.date.accessioned2021-12-08T13:15:55Z
dc.date.available2021-12-08T13:15:55Z
dc.date.issued2019en_US
dc.departmentKMÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractIn image processing, nonlinear filters are commonly used as a pre-process for noise removal before applying any advanced processing such as classification and clustering to an image. The adaptive filters being a kind of the nonlinear filters mainly perform better than the others in salt-and-pepper noise. In this paper, we first define a new median method, i.e. right median (rm). We then define a new adaptive nonlinear filter developed via rm, namely Adaptive Right Median Filter (ARMF), for saltand-pepper noise removal. Afterwards, we compare the results of ARMF with some of the known filters by using 12 test images and two image quality metrics: Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity (SSIM). The results show that ARMF outperforms the other methods at all the noise density except 80% and 90% in the mean percentages. Finally, we discuss the need for further research.en_US
dc.identifier.citationErkan, U., Gökrem, L., Enginoğlu, S. (2019). Adaptive Right Median Filter for Salt-and-Pepper Noise Removal. Uluslararası Mühendislik Araştırma ve Geliştirme Dergisi, 11(2), 542 - 550. Doi: 10.29137/umagd.495904en_US
dc.identifier.doi10.29137/umagd.495904
dc.identifier.endpage550en_US
dc.identifier.issn1308-5514
dc.identifier.issue2en_US
dc.identifier.startpage542en_US
dc.identifier.trdizinid405773
dc.identifier.urihttps://doi.org/10.29137/umagd.495904
dc.identifier.urihttps://hdl.handle.net/11492/5586
dc.identifier.volume11en_US
dc.indekslendigikaynakTR-Dizin
dc.institutionauthorErkan, Uğur
dc.language.isoen
dc.relation.journalUluslararası Mühendislik Araştırma ve Geliştirme Dergisien_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectImage Denoisingen_US
dc.subjectNoise Removalen_US
dc.subjectNonlinear Filtersen_US
dc.subjectNonlinear Functionsen_US
dc.subjectMatrix Algebraen_US
dc.titleAdaptive right median filter for salt-and-pepper noise removalen_US
dc.typeArticle

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