Image equalization based on singular value decomposition

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dc.contributor.authorDemirel, Hasan
dc.contributor.authorAnbarjafari, Gholamreza
dc.contributor.authorJahromi, Mohammad Naser Sabet
dc.date.accessioned2026-02-06T17:58:27Z
dc.date.issued2008
dc.departmentDoğu Akdeniz Üniversitesi
dc.description2008 23rd International Symposium on Computer and Information Sciences, ISCIS 2008 --
dc.description.abstractIn this paper, a novel image equalization technique which is based on singular value decomposition (SVD) is proposed. The singular value matrix represents the intensity information of the given image and any change on the singular values change the intensity of the input image. The proposed technique converts the image into the SVD domain and after normalizing the singular value matrix it reconstructs the image in the spatial domain by using the updated singular value matrix. The technique is called the singular value equalization (SVE) and compared with the standard grayscale histogram equalization (GHE) method. The visual and quantitative results suggest that the proposed SVE method clearly outperforms the GHE method. © 2008 IEEE.
dc.identifier.doi10.1109/ISCIS.2008.4717878
dc.identifier.isbn9781424428816
dc.identifier.scopus2-s2.0-58449120039
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ISCIS.2008.4717878
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/
dc.identifier.urihttps://hdl.handle.net/11129/7571
dc.indekslendigikaynakScopus
dc.language.isoen
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260204
dc.subjectInformation science
dc.subjectGrayscale histogram
dc.subjectInput images
dc.subjectIntensity information
dc.subjectSingular values
dc.subjectSingular value decomposition
dc.titleImage equalization based on singular value decomposition
dc.typeConference Object

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