Contrast enhancement using phase transition information and total variation

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dc.citation.epage1442en_US
dc.citation.spage1438en_US
dc.contributor.authorÇakır, Serdaren_US
dc.contributor.authorÇetin, A.Enisen_US
dc.coverage.spatialCalgary, AB, Canadaen_US
dc.date.accessioned2019-02-21T16:04:23Zen_US
dc.date.available2019-02-21T16:04:23Zen_US
dc.date.issued2018en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 15-20 April 2018en_US
dc.description.abstractContrast enhancement is an important preprocessing step for the analysis of images. The main aim of contrast enhancement techniques is to increase the visibility of the objects by modifying the spatial characteristics of the image. In this paper, phase transition based contrast enhancement framework is proposed to overcome the limitations of existing image enhancement techniques. The proposed image enhancement framework transforms the changes in image phase into the variations of magnitude to enhance the structural details of the image and to improve visibility. In addition, the concept of Selective Variation (SV) technique is introduced and enhancement parameters are optimized using SV. The experimental studies that were carried out on TID2008 dataset, show that the proposed scheme obtains promising results on contrast enhancement.en_US
dc.identifier.doi10.1109/ICASSP.2018.8461712en_US
dc.identifier.eissn2379-190Xen_US
dc.identifier.isbn9781538646588en_US
dc.identifier.urihttp://hdl.handle.net/11693/50182en_US
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttps://doi.org/10.1109/ICASSP.2018.8461712en_US
dc.source.titleICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsen_US
dc.subjectContrast enhancementen_US
dc.subjectFourier transformen_US
dc.subjectImage phase informationen_US
dc.titleContrast enhancement using phase transition information and total variationen_US
dc.typeConference Paperen_US

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