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All Technical Committee Conferences  (Searched in: Recent 10 Years)


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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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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]
 Results 1 - 10 of 10  /   
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