| 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 |
| 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 |
| 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 |
| 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-SIS, IPSJ-AVM, 3DMT [detail] |
2019-06-13
16:25 |
Nagasaki |
Fukue Culture Center |
[Invited Talk]
Sparse/low-rank Modeling for Image Processing
Seisuke Kyochi (The Univ. of Kitakyushu) |
This paper presents fundamental tools for image recovery by convex optimization and introduces some case study from the ... [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] |
|