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Committee Date Time Place Paper Title / Authors Abstract Paper #
IMQ, IE, MVE, CQ
(Joint) [detail]		 2019-03-14
13:55		 Kagoshima Kagoshima University Multi Frame Super-Resolution Magnification method using TV Regularization and Learning-based Method
Taiki Kondo, Hiroto Kizuna, Hiromasa Takeda, Hiroyuki Sato (Iwate Pref. Univ.) IMQ2018-38 IE2018-122 MVE2018-69		 A method combining a Based learning method and ShockFilter for Total Variation (TV) regularization, which is one of supe... [more] IMQ2018-38 IE2018-122 MVE2018-69
pp.91-96
IMQ, IE, MVE, CQ
(Joint) [detail]		 2019-03-14
14:20		 Kagoshima Kagoshima University Implementation and Evaluation of Total Variation Regularization Decomposition for Super Resolution using an Inexpensive Single Board Computer
Hiromasa Takeda, Taiki Kondo, Hiroto Kizuna, Hiroyuki Sato, Eiji Sugino (Iwate Pref. Univ.) IMQ2018-39 IE2018-123 MVE2018-70		 With the advent of large and high resolution displays in recent years, large screen electronic signage such as digital s... [more] IMQ2018-39 IE2018-123 MVE2018-70
pp.97-102
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