Adaptive cesáro mean filter for salt-and-pepper noise removal

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dc.contributor.authorEnginoğlu, Serdar
dc.contributor.authorErkan, Uğur
dc.contributor.authorMemiş, Samet
dc.date.accessioned2025-01-27T18:59:14Z
dc.date.available2025-01-27T18:59:14Z
dc.date.issued2020
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractIn this study, we propound a salt-and-pepper noise (SPN) removal method, i.e. Adaptive Cesáro Mean Filter (ACmF), and provide some of its basic notions. We then apply ACmF to several test images whose noise densities range from 10% to 90%: 15 traditional test images (Baboon, Boat, Bridge, Cameraman, Elaine, Flintstones, Hill, House, Lake, Lena, Living Room, Parrot, Peppers, Pirate, and Plane) and 40 test images, provided in the TESTIMAGES Database. Afterwards, we compare ACmF with the state-of-art methods, such as Adaptive Weighted Mean Filter (AWMF), Different Applied Median Filter (DAMF), and Noise Adaptive Fuzzy Switching Median Filter (NAFSMF). The results by The Peak Signal to Noise Ratio (PSNR) and Structural Similarity (SSIM) show that ACmF performs better than the methods mentioned above. Moreover, we also compare the running time data of these algorithms. These results show that ACmF outperforms the methods except for DAMF. We finally discuss the need for further research. © 2020, TUBITAK. All rights reserved.
dc.description.sponsorshipOffice of Scientific Research Projects Coordination at Çanakkale Onsekiz Mart University, (FHD-2018-1409)
dc.identifier.doi10.31202/ecjse.646359
dc.identifier.endpage314
dc.identifier.issn2148-3736
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85091922028
dc.identifier.scopusqualityQ4
dc.identifier.startpage304
dc.identifier.trdizinid385658
dc.identifier.urihttps://doi.org/10.31202/ecjse.646359
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/385658
dc.identifier.urihttps://hdl.handle.net/20.500.12428/13199
dc.identifier.volume7
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherTUBITAK
dc.relation.ispartofEl-Cezeri Journal of Science and Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_Scopus_20250125
dc.subjectCesáro mean; Image denoising; Noise removal; Non-linear functions; Salt-and-pepper noise
dc.titleAdaptive cesáro mean filter for salt-and-pepper noise removal
dc.title.alternativeTuz ve biber gürültü kaldırma için uyarlamalı cesáro ortalama filtresi
dc.typeArticle

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