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Committee Date Time Place Paper Title / Authors Abstract Paper #
(Joint) [detail]
Kagoshima Kagoshima University Non-blind image deblurring using deep image prior
Takanori Fujisawa, Masaaki Ikehara (Keio Univ.) IMQ2018-66 IE2018-150 MVE2018-97
Deep learning has become a major tools for image generation and image restoration. General approach for deep learning is... [more] IMQ2018-66 IE2018-150 MVE2018-97
SP, SIP, EA 2017-03-01
Okinawa Okinawa Industry Support Center Image restoration based on weighted average of multiple blurred and noisy images
Ryo Tanikawa, Takanori Fujisawa, Masaaki Ikehara (Keio Univ.) EA2016-111 SIP2016-166 SP2016-106
Many methods for restoring images degraded by noise or blur use one noise image or blurred image. BM3D as a typical nois... [more] EA2016-111 SIP2016-166 SP2016-106
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2017-02-21
Hokkaido Hokkaido Univ. Low-light image enhancement using an RGB-NIR single sensor with exposure bracketing
Hiroki Yamashita, Daisuke Sugimura, Takayuki Hamamoto (Tokyo Univ. of Science) ITS2016-49 IE2016-107
Color images taken in low light scenes are deteriorated with noise and motion blur. In this paper, we propose a novel im... [more] ITS2016-49 IE2016-107
IE 2016-07-01
Okinawa   A constrained optimization approach to image restoration using blurred/noisy image pair
Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa (Tokyo Tech.) IE2016-40
Existing image restoration methods with a blurred/noisy image pair do not fully exploit the information on both images i... [more] IE2016-40
SIP, EA, SP 2015-03-03
Okinawa   [Poster Presentation] MSIST-based Image Restoration with Non-separable Oversampled Lapped Transforms
Sho Wakasugi, Shogo Muramatsu (Niigata Univ) EA2014-90 SIP2014-131 SP2014-153
This work proposes, an image restoration technique with modified subbsnd-adaptive iterative shrinkage thresholding (MSIS... [more] EA2014-90 SIP2014-131 SP2014-153
SIP, CAS, CS 2013-03-14
Yamagata Keio Univ. Tsuruoka Campus (Yamagata) Image Restoration with Directional Non-separable Oversampled Lapped Transform
Natsuki Aizawa, Shogo Muramatsu (Niigata Univ.) CAS2012-103 SIP2012-134 CS2012-109
This report proposes an image restoration technique with directional non-separable oversampled lapped transform (NSOLT) ... [more] CAS2012-103 SIP2012-134 CS2012-109
IE 2012-04-27
Tokyo Seikei University Object Tracking and Image Restoration in the Dark
Takashi Komuro (Saitama Univ.) IE2012-8
We show a method of realizing object tracking and image restoration in the dark in which target motion and a reference i... [more] IE2012-8
CAS, CS, SIP 2012-03-08
Niigata The University of Niigata Image Restoration with Union of Multiple DirLOTs
Natsuki Aizawa, Shogo Muramatsu (Niigata Univ.) CAS2011-113 SIP2011-133 CS2011-105
In this report, an image restoration method by using Directional Lapped Orthonormal Transform (DirLOT), which the author... [more] CAS2011-113 SIP2011-133 CS2011-105
CS, IPSJ-AVM, ITE-BCT, IE [detail] 2011-12-16
Aichi Nagoya Univ. Blur-Free High-Sensitivity Imaging System Utilizing Combined Long/Short Exposure Green Pixels
Satoshi Sato, Yusuke Okada, Takeo Azuma (Panasonic) CS2011-74 IE2011-98
In previous work, we have proposed a high-sensitivity imaging system based on the long exposure for all the G(green) pix... [more] CS2011-74 IE2011-98
CAS, CS, SIP 2009-03-03
Gifu Nagaragawa Convention Center [Poster Presentation] Motion Deblurring using PSF Predicted from Multiple One-Dimensional Edges
Tadasuke Murakami, Kazu Mishiba (Keio Univ), Keiichiro Shirai (Shinshu Univ), Masaaki Ikehara (Keio Univ) CAS2008-132 SIP2008-195 CS2008-106
In this paper, we propose a fast approach for motion deblurring from a single blurred image using multiple one-dimension... [more] CAS2008-132 SIP2008-195 CS2008-106
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