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Unsupervised Spectral Demosaicing With Lightweight Spectral Attention Networks

 
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0003-0398-3316
cris.virtualsource.department19db0384-3a02-4246-9c26-0b292c5900fa
cris.virtualsource.orcid19db0384-3a02-4246-9c26-0b292c5900fa
dc.contributor.authorFeng, Kai
dc.contributor.authorZeng, Haijin
dc.contributor.authorZhao, Yongqiang
dc.contributor.authorKong, Seong G.
dc.contributor.authorBu, Yuanyang
dc.date.accessioned2024-03-29T18:12:34Z
dc.date.available2024-03-29T18:12:34Z
dc.date.issued2024
dc.description.wosFundingTextNo Statement Available
dc.identifier.doi10.1109/TIP.2024.3364064
dc.identifier.issn1057-7149
dc.identifier.pmidMEDLINE:38386587
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43748
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage1655
dc.source.endpage1669
dc.source.journalIEEE TRANSACTIONS ON IMAGE PROCESSING
dc.source.numberofpages15
dc.source.volume33
dc.subject.keywordsFILTER ARRAY
dc.subject.keywordsRECOVERY
dc.subject.keywordsGRADIENT
dc.title

Unsupervised Spectral Demosaicing With Lightweight Spectral Attention Networks

dc.typeJournal article
dspace.entity.typePublication
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