Removal of impulse noise in digital images with na¨ıve Bayes classifier method

dc.contributor.authorBudak, Cafer
dc.contributor.authorToprak, Abdullah
dc.contributor.authorTürk, Mustafa
dc.date.accessioned2024-04-24T19:07:48Z
dc.date.available2024-04-24T19:07:48Z
dc.date.issued2016
dc.departmentDicle Üniversitesien_US
dc.description.abstractA new method has been presented in this paper to remove randomly formed impulse noise in digital images. This method is one of the favorite learning approaches of the Bayes learning method and is frequently called the na¨ıve Bayes classifier. It has especially been used more frequently in recent times in the field of signal processing. Prior to restoration of the noisy pixels of the image as is done here, the image is first separated into pieces, and then an associated learning set is formed for each piece using the noise-free pixels. These learning sets that are different for each piece are used in order to estimate the pixel that will replace the noisy one. The proposed method is both simple and easy to apply. Our comprehensive experimental studies show that our proposed method outperforms other filters that are very popular in the literature.en_US
dc.identifier.endpage2729en_US
dc.identifier.issn1300-0632
dc.identifier.issn1300-0632
dc.identifier.issue4en_US
dc.identifier.startpage2717en_US
dc.identifier.trdizinid246148
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/246148
dc.identifier.urihttps://hdl.handle.net/11468/27617
dc.identifier.volume24en_US
dc.indekslendigikaynakTR-Dizin
dc.language.isoenen_US
dc.relation.ispartofTurkish Journal of Electrical Engineering and Computer Sciences
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleRemoval of impulse noise in digital images with na¨ıve Bayes classifier methoden_US
dc.titleRemoval of impulse noise in digital images with na¨ıve Bayes classifier method
dc.typeArticleen_US

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