Reduction in impulse noise in digital images through a new adaptive artificial neural network model

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dc.contributor.authorBudak, Cafer
dc.contributor.authorTurk, Mustafa
dc.contributor.authorToprak, Abdullah
dc.date.accessioned2024-04-24T16:01:55Z
dc.date.available2024-04-24T16:01:55Z
dc.date.issued2015
dc.departmentDicle Üniversitesien_US
dc.description.abstractIn this paper, an adaptive artificial neural network model is developed in order to restore severely corrupted images. The proposed new and effective impulse noise reduction filter is named as adaptive neural network models with an algorithm based on artificial neural networks. Networks trained at different noise intensities get activated according to the intensity of the noise and estimate the most suitable neighboring pixel that can replace the corrupted pixel. The proposed algorithm reduces impulse noise effectively while also protecting the details. Experimental results show that the proposed algorithm performs better compared with other traditional filters.en_US
dc.identifier.doi10.1007/s00521-014-1767-x
dc.identifier.endpage843en_US
dc.identifier.issn0941-0643
dc.identifier.issn1433-3058
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-84939989301
dc.identifier.scopusqualityQ1
dc.identifier.startpage835en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-014-1767-x
dc.identifier.urihttps://hdl.handle.net/11468/14497
dc.identifier.volume26en_US
dc.identifier.wosWOS:000353356000008
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofNeural Computing & Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectImpulse Noiseen_US
dc.subjectNeural Networken_US
dc.subjectImage Enhancementen_US
dc.subjectImage Restorationen_US
dc.titleReduction in impulse noise in digital images through a new adaptive artificial neural network modelen_US
dc.titleReduction in impulse noise in digital images through a new adaptive artificial neural network model
dc.typeArticleen_US

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