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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, MI, IE, SIP 2018-05-17
15:15		 Gifu   On OCT Volumetric Data Restoration via Hierarchical Sparsity and Hard Constraint
Shogo Muramatsu, Satoshi Nagayama, Samuel Choi (Niigata Univ.), Shunsuke Ono (Tokyo Institute of Tech.), Takeru Ota, Fumiaki Nin, Hiroshi Hibino (Niigata Univ.) SIP2018-3 IE2018-3 PRMU2018-3 MI2018-3		 This work proposes a novel restoration method for optical coherence tomography (OCT) data. OCT is a measurement techniqu... [more] SIP2018-3 IE2018-3 PRMU2018-3 MI2018-3
pp.7-12
SIP, EA, SP, MI
(Joint) [detail]		 2018-03-20
09:00		 Okinawa   [Poster Presentation] Image Super-resolution with Complex Nonseparable Oversampled Lapped Transforms
Satoshi Nagayama, Shogo Muramatsu, Hiroyoshi Yamada (Niigata Univ.) EA2017-156 SIP2017-165 SP2017-139		  [more] EA2017-156 SIP2017-165 SP2017-139
pp.297-298
SIP, CAS, MSS, VLD 2017-06-19
09:50		 Niigata Niigata University, Ikarashi Campus Radar Image Denoising based on Iterative Shrinkage with Complex Nonseparable Oversampled Lapped Transforms
Satoshi Nagayama, Shogo Muramatsu, Hiroyoshi Yamada (Niigata Univ.), Yuuichi Sugiyama (FUJITSU TEN) CAS2017-2 VLD2017-5 SIP2017-26 MSS2017-2		  [more] CAS2017-2 VLD2017-5 SIP2017-26 MSS2017-2
pp.7-12
SP, SIP, EA 2017-03-01
12:40		 Okinawa Okinawa Industry Support Center [Poster Presentation] On Radar Image Denoising with Complex Nonseparable Oversampled Lapped Transforms
Satoshi Nagayama, Shogo Muramatsu, Hiroyoshi Yamada (Niigata Univ.), Yuuichi Sugiyama (FUJITSU TEN) EA2016-97 SIP2016-152 SP2016-92		  [more] EA2016-97 SIP2016-152 SP2016-92
pp.87-91
SIP 2016-08-26
11:00		 Chiba Chiba Institute of Technology, Tsudanuma Campus [Poster Presentation] A Design Method of Complex Nonseparable Oversampled Lapped Transforms
Satoshi Nagayama, Shogo Muramatsu (Niigata Univ.) SIP2016-81		 This work extends the theory of nonseparable oversampled lapped transform (NSOLT) for complex images. NSOLT allows us t... [more] SIP2016-81
pp.45-50
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