Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/3552
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dc.contributor.authorYayci Z.O.-
dc.contributor.authorDura U.-
dc.contributor.authorKaya Z.B.-
dc.contributor.authorCetin A.E.-
dc.contributor.authorTurkan M.-
dc.date.accessioned2023-06-16T15:00:46Z-
dc.date.available2023-06-16T15:00:46Z-
dc.date.issued2022-
dc.identifier.isbn9.78167E+12-
dc.identifier.issn1522-4880-
dc.identifier.urihttps://doi.org/10.1109/ICIP46576.2022.9898049-
dc.identifier.urihttps://hdl.handle.net/20.500.14365/3552-
dc.descriptionThe Institute of Electrical and Electronics Engineers Signal Processing Societyen_US
dc.description29th IEEE International Conference on Image Processing, ICIP 2022 -- 16 October 2022 through 19 October 2022 -- 185922en_US
dc.description.abstractThe restrictions of accessing high-end microscopes, microscale cameras and high-tech imaging lenses result in a high demand on low-cost microscopes. However, low-cost microscopes are facing with many image capture and quality limitations due to incompatible equipped instrumentation. This study aims at overcoming illumination and contrast problems, color aberration issues, and blur and noise corruption in low-cost microscopes at high image magnification rates. The three color channels of the input image are enhanced via principal component analysis and well-exposedness feature maps by means of cross-channel histogram matching, Laplacian and non-local means filtering. The proposed approach produces sharper, and better color and illumination fixed outputs when compared to existing methods in literature. © 2022 IEEE.en_US
dc.language.isoenen_US
dc.publisherIEEE Computer Societyen_US
dc.relation.ispartofProceedings - International Conference on Image Processing, ICIPen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectbiomedical image enhancementen_US
dc.subjectcross-channel histogram matchingen_US
dc.subjectMicroscale image enhancementen_US
dc.subjectprinciple component analysisen_US
dc.subjectwell-exposednessen_US
dc.subjectColoren_US
dc.subjectColor matchingen_US
dc.subjectCostsen_US
dc.subjectGraphic methodsen_US
dc.subjectImage analysisen_US
dc.subjectImage enhancementen_US
dc.subjectPrincipal component analysisen_US
dc.subjectBiomedical image enhancementen_US
dc.subjectBiomedical imagesen_US
dc.subjectCross-channel histogram matchingen_US
dc.subjectHigh techen_US
dc.subjectHistogram matchingen_US
dc.subjectImaging lensen_US
dc.subjectLow-costsen_US
dc.subjectMicroscale image enhancementen_US
dc.subjectPrinciple components analysisen_US
dc.subjectWell-exposednessen_US
dc.subjectMicroscopesen_US
dc.titleMICROSCALE IMAGE ENHANCEMENT VIA PCA AND WELL-EXPOSEDNESS MAPSen_US
dc.typeConference Objecten_US
dc.identifier.doi10.1109/ICIP46576.2022.9898049-
dc.identifier.scopus2-s2.0-85146693263en_US
dc.authorscopusid57419831800-
dc.authorscopusid58074816900-
dc.authorscopusid58074554000-
dc.authorscopusid57219464964-
dc.identifier.startpage2092en_US
dc.identifier.endpage2096en_US
dc.identifier.wosWOS:001058109502040en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityN/A-
dc.identifier.wosqualityN/A-
item.grantfulltextreserved-
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
crisitem.author.dept05.10. Mechanical Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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