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 |