Improved adaptive weighted mean filter for salt-and-pepper noise removal

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dc.authorid0000-0002-2481-0230en_US
dc.contributor.authorErkan, Uğur
dc.contributor.authorThanh, D.N.H.
dc.contributor.authorEnginoğlu, S.
dc.contributor.authorMemiş, S.
dc.date.accessioned2021-01-10T06:54:46Z
dc.date.available2021-01-10T06:54:46Z
dc.date.issued2020
dc.departmentKMÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020 -- 12 June 2020 through 13 June 2020 -- -- 162684en_US
dc.description.abstractIn this study, we propose an improved adaptive weighted mean filter (IAWMF) to remove salt-and-pepper noise. The most prominent advantage of IAWMF is its ability to take into account the weights of noise-free pixels in the adaptive window. Hence, the new grey value occurs closer to the original grey value of the centre pixel than the grey value computed by the adaptive weighted mean filter (AWMF). Moreover, the proposed method utilises the advantage of AWMF to reduce the error of detecting noisy pixels. In the experiments, we compare the denoising results of the proposed method with other state-of-the-art image denoising methods. The results confirm that IAWMF outperforms other methods. © 2020 IEEE.en_US
dc.identifier.citationErkan, U., Thanh, D. N. H., Enginoğlu, S., Memiş, S., 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). (June 01, 2020). Improved Adaptive Weighted Mean Filter for Salt-and-Pepper Noise Removal. 1-5.
dc.identifier.doi10.1109/ICECCE49384.2020.9179351
dc.identifier.isbn9781728171166
dc.identifier.scopus2-s2.0-85091900048
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ICECCE49384.2020.9179351
dc.identifier.urihttps://hdl.handle.net/11492/3967
dc.indekslendigikaynakScopus
dc.institutionauthorErkan, Uğur
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.journal2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEuclidean Pixel Similarityen_US
dc.subjectImage Denoisingen_US
dc.subjectImage Processingen_US
dc.subjectNonlinear Functionen_US
dc.subjectSalt-And-Pepper Noiseen_US
dc.titleImproved adaptive weighted mean filter for salt-and-pepper noise removalen_US
dc.typeConference Object

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