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Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, CAS, CS 2013-03-14
14:40		 Yamagata Keio Univ. Tsuruoka Campus (Yamagata) Self-learning super resolution by L2-norm
Daiki Azuma (Keio Univ.), Kazu Mishiba (Tottori Univ.), Masaaki Ikehara (Keio Univ.) CAS2012-106 SIP2012-137 CS2012-112		 In this paper, we propose a single image super resolution technique by L2 approximation without any training. Recently i... [more] CAS2012-106 SIP2012-137 CS2012-112
pp.57-61
MSS, CAS, VLD, SIP 2011-06-30
15:50		 Okinawa Okinawa-Ken-Seinen-Kaikan Image Quality Assessment Method for Various-Sized Images Based on SSIM
Daiki Azuma, Yuichi Tanaka, Madoka Hasegawa, Shigeo Kato (Utsunomiya Univ.) CAS2011-12 VLD2011-19 SIP2011-41 MSS2011-12		 Structural similarity (SSIM) index is an image quality measure between the original and its distorted version. It is des... [more] CAS2011-12 VLD2011-19 SIP2011-41 MSS2011-12
pp.67-72
SIP, RCS 2011-01-20
09:50		 Kagoshima   SSIM Based Image Quality Assessment Applicable to Resized Images
Daiki Azuma, Yuichi Tanaka, Madoka Hasegawa, Shigeo Kato (Utsunomiya Univ.) SIP2010-72 RCS2010-202		 Structural similarity (SSIM) index is a method for measuring a similarity between two images. It is designed to overcome... [more] SIP2010-72 RCS2010-202
pp.19-24
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