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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
10:25
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Blind deconvolution with non-smooth regularization via Bregman proximal DC algorithms
Shota Takahashi (SOKENDAI), Mirai Tanaka, Ikeda Shiro (ISM) PRMU2022-79 IBISML2022-86
Blind deconvolution is a technique to recover an original signal without knowing a convolving filter from its convolutio... [more] PRMU2022-79 IBISML2022-86
pp.111-118
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-15
13:00
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
pp.239-244
SP, SIP, EA 2017-03-01
14:50
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
pp.165-170
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2017-02-21
11:00
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
pp.231-234
IE 2016-07-01
13:10
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
pp.25-29
SIP, EA, SP 2015-03-03
09:00
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
pp.91-96
IPSJ-AVM, CS, IE, ITE-BCT [detail] 2014-12-04
14:50
Osaka Osaka University Nakanoshima Center A Proposal of Encoding Marker which is Robust against Blur and easy to Detect
Norimasa Kobori, Daisuke Deguchi (Nagoya Univ), Tomokazu Takahashi (Gifu Shotoku Univ), Ichiro Ide, Hiroshi Murase (Nagoya Univ) CS2014-73 IE2014-59
We proposed a new encoding Marker which can have flexibility to marker’s placement and distance. Our method can detect t... [more] CS2014-73 IE2014-59
pp.19-24
SIP, CAS, CS 2013-03-14
13:25
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
pp.39-44
IE 2012-04-27
13:15
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
pp.41-46
CAS, CS, SIP 2012-03-08
13:20
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
pp.37-42
CS, IPSJ-AVM, ITE-BCT, IE [detail] 2011-12-16
12:05
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
pp.117-120
CAS, CS, SIP 2009-03-03
13:10
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
pp.177-182
PRMU, NLC 2005-09-22
13:10
Tokyo   An Evaluation of Pseudo 3-Dimentional Vector Feature Extraction Method -- An Improved Correlation Method for Character Recognition --
Marie Nikaido, Koji Kitamura, Yumi Nakashima, Michio Yasuda (Meisei Univ.)
We evaluate a pseudo 3-dimensional and directional features extraction method which previously reported.

This method ... [more]
NLC2005-49 PRMU2005-76
pp.77-82
 Results 1 - 13 of 13  /   
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