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dc.contributor.authorJordanski, Milošen
dc.contributor.authorArsić, Aleksandraen
dc.contributor.authorTuba, Milanen
dc.date.accessioned2020-05-22T08:46:08Z-
dc.date.available2020-05-22T08:46:08Z-
dc.date.issued2016-01-08en
dc.identifier.isbn978-1-509-00054-8en
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/2780-
dc.description.abstractContrast enhancement plays a fundamental role in image processing. Histogram equalization is a well-known and effective technique for enhancing the contrast of the input image, however it fails to preserve the brightness of the image. In order to preserve natural appearance and brightness of enhanced images, we propose a new dynamic recursive sub-image histogram equalization method for contrast enhancement. Experimental results show that, for the variety of test images, the proposed method enhances contrast effectively, while preserving brightness and natural appearance.en
dc.publisherIEEE-
dc.relation.ispartof2015 23rd Telecommunications Forum, TELFOR 2015en
dc.subjectContrast enhancement | Dynamic histogram equalization | Histogram equalization | Multiple segmentationen
dc.titleDynamic recursive subimage histogram equalization algorithm for image contrast enhancementen
dc.typeConference Paperen
dc.relation.conference23rd Telecommunications Forum, TELFOR 2015; Sava Center Belgrade; Serbia; 24 November 2015 through 26 November 2015-
dc.identifier.doi10.1109/TELFOR.2015.7377591en
dc.identifier.scopus2-s2.0-84964526682en
dc.relation.firstpage819en
dc.relation.lastpage822en
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference Paper-
item.grantfulltextnone-
crisitem.author.orcid0000-0002-8876-6283-
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