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A Dual-Channel Dehaze-Net for Single Image Dehazing in Visual Internet of Things Using PYNQ-Z2 Board

dc.contributor.authorSahu, Geet
dc.contributor.authorSeal, Ayan
dc.contributor.authorYazidi, Anis
dc.contributor.authorKrejcar, Ondrej
dc.date.accessioned2024-11-21T09:46:02Z
dc.date.available2024-11-21T09:46:02Z
dc.date.created2024-01-31T13:38:19Z
dc.date.issued2024
dc.identifier.citationIEEE Transactions on Automation Science and Engineering. 2024, 21 (1), 305-319.en_US
dc.identifier.issn1545-5955
dc.identifier.urihttps://hdl.handle.net/11250/3165933
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.titleA Dual-Channel Dehaze-Net for Single Image Dehazing in Visual Internet of Things Using PYNQ-Z2 Boarden_US
dc.title.alternativeA Dual-Channel Dehaze-Net for Single Image Dehazing in Visual Internet of Things Using PYNQ-Z2 Boarden_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderThis version will not be available due to the publisher's copyright.en_US
dc.source.pagenumber305-319en_US
dc.source.volume21en_US
dc.source.journalIEEE Transactions on Automation Science and Engineeringen_US
dc.source.issue1en_US
dc.identifier.doi10.1109/TASE.2022.3217801
dc.identifier.cristin2240002
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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