Image Super-Resolution based on Convolution Neural Networks using Multi-Channel Input

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dc.contributor.authorYoum, Gwang Young-
dc.contributor.authorBae, Sung Ho-
dc.contributor.authorKim, Mun Churl-
dc.date.accessioned2016-07-25T09:14:19Z-
dc.date.available2016-07-25T09:14:19Z-
dc.date.created2016-06-05-
dc.date.issued2016-07-11-
dc.identifier.citationIEEE Image Video and Multidimensional Signal Processing Workshop, v.1, no.1-
dc.identifier.urihttp://hdl.handle.net/10203/211955-
dc.languageEnglish-
dc.publisherThe Institute of Electrical and Electronics Engineers, Incorporated-
dc.titleImage Super-Resolution based on Convolution Neural Networks using Multi-Channel Input-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.volume1-
dc.citation.issue1-
dc.citation.publicationnameIEEE Image Video and Multidimensional Signal Processing Workshop-
dc.identifier.conferencecountryFR-
dc.identifier.conferencelocationBordeaux, France-
dc.contributor.localauthorYoum, Gwang Young-
dc.contributor.localauthorBae, Sung Ho-
dc.contributor.localauthorKim, Mun Churl-
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EE-Conference Papers(학술회의논문)
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