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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 20  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
ME 2023-12-15
09:30
Niigata Niigata Univ.
(Primary: On-site, Secondary: Online)
Restoration of Microwave Radar River Observation Movies by Spatio-Temporal Total Variation Regularization
Mitsuki Okamoto, Yuki Ohara, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka (Niigata Univ.), Shunsuke Ono (Tokyo Tech)
This report introduces a method for restoring microwave radar river observation images using spatiotemporal total variat... [more] ME2023-101
pp.29-32
IIEEJ, AIT 2023-06-04
10:00
Tokyo TOKYO CITY UNIVERSITY
(Primary: On-site, Secondary: Online)
A Study on Accuracy Recognition of Images using Elimination of Specular Reflection Light -- Trial of Restoration from Peripheral Pixel Information using Spatial Filtering --
Riko Abe, Yuya Dan (Matsuyama Univ.)
As the performance of computer systems improves, image recognition technology expands its scope of application and is be... [more] AIT2023-135
pp.43-46
ME 2022-07-22
15:50
Online Online On OCT Volume Data Restoration by Introducing Inter-scale Thresholding
Masaki Kakihara, Shogo Muramatsu (Niigata Univ.)
This study proposes a restoration model for volumetric data acquired by an optical coherence tomography (OCT) device.
A... [more]
ME2022-69
pp.19-22
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-19
16:10
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
[Invited Talk] Image and Video Restoration with Deep Learning
Satoshi Iizuka (Univ. of Tsukuba)
In this talk, I will introduce techniques for restoring black-and-white images and videos with high accuracy using deep ... [more]
IST, ME, IEICE-IE, IEICE-SIP, IEICE-BioX [detail] 2021-06-04
14:45
Online Online Acceleration of High-Dimensional Signal Restoration with Primal-Dual Splitting
Gai Yamamoto, Shogo Muramatsu (Niigata Univ.)
In this report, an acceleration technique is proposed for high-dimensional signal restoration. In general, it is inevita... [more] IST2021-26 ME2021-57
pp.81-86
IST, ME, IEICE-IE, IEICE-SIP, IEICE-BioX [detail] 2021-06-04
15:15
Online Online Acceleration of Dictionary Learning by Non-Separable Oversampled Lapped Transform for Image Restoration
Soushi Takahashi, Shogo Muramatsu (Niigata Univ.)
This study proposes to accelerate example-based design of non-separable oversampled lapped transform (NSOLT) for image r... [more] IST2021-27 ME2021-58
pp.87-92
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
13:30
Hokkaido Hokkaido Univ.
(Cancelled)
Chromatic Aberration Correction of Color Images Using Deep Learning with Each Channel Training Based on Contrast Enhancement
Naoto Nagashima, Mitsuhiko Meguro (Nihon Univ.)
In this paper, we propose a new correcting method of chromatic aberration occurring in color images using Deep Learning.... [more]
ME 2020-02-08
12:15
Kanagawa Kanto Gakuin University Extension of blind image restoration using sparse optimization to multispectral images
Dan Suto, Yoshitaka Izumi, Souta Kawakami, Hiroyuki Kudo (Tsukuba Univ.)
Blind image restoration is a method of restoring a clear image only from an image that has deteriorated due to defocus o... [more] ME2020-8
pp.23-26
ME 2020-02-08
14:00
Kanagawa Kanto Gakuin University Motionless Super-Resolution Under Blind Conditions
Yoshitaka Izumi, Sota Kawakami, Hiroyuki Kudo (Tsukuba Univ.)
The purpose of this paper is to propose a new motionless super-resolution method. Motionless super-resolution is one of ... [more] ME2020-17
pp.57-58
IEICE-IE, IEICE-CS, IPSJ-AVM, BCT [detail] 2019-12-05
11:40
Iwate Aiina Center [Special Talk] Representation of moving-image's sparsity and its applications to adaptive moving-image restoration
Takahiro Saito (Kanagawa Univ.)
This talk states that statistical sparsity of a moving-image sequence can be properly represented in the domain of the 3... [more]
IEICE-IE, IEICE-CS, IPSJ-AVM, BCT [detail] 2019-12-06
14:15
Iwate Aiina Center Image Restoration using a Codec
Yoko Sogabe, Shiori Sugimoto, Takayuki Kurozumi, Hideaki Kimata (NTT)
Image restoration, which is an inverse problem such as compressed
sensing and super-resolution, requires priors (e.g. ... [more]

IEICE-SIS, BCT 2018-10-26
10:30
Kyoto Kyoto University Clock Tower Centennial Hall Image Regularization with Morphological Gradient and Total Variation Priors Using Optimization of Structuring Element by GA
Shoya Oohara, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (CIT)
As an image prior for image restoration, a method using the sum of morphological gradients for an image has been propose... [more]
3DMT, IPSJ-AVM, IEICE-SIS [detail] 2018-06-08
11:10
Hokkaido Jozankei View Hotel Image Regularization with Morphological Gradients Priors Using Optimization of Multiple Structuring Elements
Hirotaka Oka, Shoya Oohara, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (C.I.T.)
An image restoration method using morphological gradients as an image prior and optimizing a structuring element by a ge... [more]
ME, AIT, IEICE-IE [detail] 2015-11-12
13:00
Kumamoto Sojo University Ikeda Campus Local image inpainting with high frequency resolution analysis
Yuya Inuzuka, Kazuki Sakashita, Masaya Hasegawa, Shigeki Hirobayashi, Tadanobu Misawa (Toyama Univ.), Hiroyuki Shioya (Muroran Institute of Tech.)
We present a new technique for image restoration. Although several algorithms can modify images in an undetectable manne... [more]
IST 2015-05-08
13:10
Tokyo   [Poster Presentation] Depth map estimation from multi-aperture images under low illumination
Kuniyuki Kugenuma, Takashi Komuro (Saitama Univ.), Bo Zhang, Keiichiro Kagawa, Shoji Kawahito (Shizuoka Univ.)
In this study, we estimated the depth map from low SNR images captured by the multi-aperture camera system that placed C... [more] IST2015-25
pp.5-8
IST 2012-05-28
14:00
Tokyo   [Poster Presentation] Wavefront Coding by Selecting PSFs Based on Disparity Estimation
Mito Okura, Shunichi Sato, Tadaaki Hosaka, Takayuki Hamamoto (Tokyo Univ.Science)
The Wavefront Coding (WFC) is a technique of extending depth of field by restoring the image blurred through the phase m... [more] IST2012-24
pp.29-32
ME, AIT, HI, IEICE-IE, IEICE-ITS [detail] 2012-02-20
11:20
Hokkaido Hokkaido Univ. A Note on Accurate Restoration of Latent Image from Blurred Image -- Ringing Artifact Suppression using Prior Probability including Edge Direction-based Weighting Parameters --
Akane Yoshizaki, Daisuke Izumi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents an accurate image restoration method including ringing artifact suppression. The proposed method est... [more] HI2012-4 ME2012-42 AIT2012-4
pp.27-32
IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] 2011-02-21
- 2011-02-22
Hokkaido Hokkaido University Raindrop removal from in-vehicle camera images based on matching adjacent frames
Hiroshi Inaba, Masakuni Oshiro, Sei-ichiro Kamata (Waseda Univ.)
This paper describes a method for removing raindrops on a car windshield from in-vehicle camera images. Most of image-ba... [more]
ME 2011-02-19
14:40
Kanagawa Kanto Gakuin Univ. Optimization of radius of blurring in wire net removal from multiple focus images
Fumiya Tsurumi, Atsushi Yamashita, Toru Kaneko (Shizuoka Univ.)
When an image is taken through a wire net, the wire net influences the image quality of a subject. Therefore, it is nece... [more] ME2011-35
pp.135-138
IST, ME 2009-06-16
10:00
Ishikawa Kanazawa Univ. Super Resolution for Text Images
Shunichi Kimura, Ikken So, Masanori Sekino, Satoshi Kubota, Kanya Ishizaka, Yutaka Koshi (Fuji Xerox)
This paper addresses the problem of recovering a super-resolved image from (an) office document image(s) that is/are obt... [more] IST2009-27 ME2009-103
pp.45-48
 Results 1 - 20 of 20  /   
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