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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-20 12:45 |
Hokkaido | Hokkaido Univ. | 3D CG Coded Image Noise Removal and Quality Assessment Based on Optimal Design of Total Variation Regularization Norifumi Kawabata (Kanazawa Gakuin Univ.)  ITS2023-67 IE2023-56 |
Sparse coding techniques, which reproduce and represent images with as few combinations as possible from a small amount ... [more] | ITS2023-67 IE2023-56 pp.112-117 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-16 13:10 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
[Special Talk]
Group Sparse/Low-rank Modeling for Multidimensional Signal Recovery Seisuke Kyochi (Kogakuin Univ.) IMQ2022-52 CQ2022-93 IE2022-129 MVE2022-82 |
Group sparse/low-rank modeling based on the ℓ1 norm and nuclear norm has been successfully applied to signal processing... [more] |
IMQ2022-52 CQ2022-93 IE2022-129 MVE2022-82 pp.156-161(IMQ), pp.64-69(CQ), pp.156-161(IE), pp.156-161(MVE) |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 17:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Additive Cumulative Link Model with Total Variation Regularization Hiroya Iyori, Shin Matsushima (Univ. of Tokyo) NC2022-8 IBISML2022-8 |
In many fields such as medical research and social science, data on an ordinal scale are often obtained. Problems in wh... [more] |
NC2022-8 IBISML2022-8 pp.69-75 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-01 09:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Hyperspectral Image Denoising by Graph Spatio-Spectral Total Variation Minimization Shingo Takemoto, Kazuki Naganuma, Shunsuke Ono (Tokyo Tech) EA2021-70 SIP2021-97 SP2021-55 |
We propose a novel denoising method for hyperspectral images (HSI) based on the Graph Spatio-Spectral Total Variation (G... [more] | EA2021-70 SIP2021-97 SP2021-55 pp.38-43 |
| MI | 2022-01-27 14:30 |
Online | Online | Reducing the number of projections in 3-D Compton Camera using EM-TV based image reconstruction Tomohiro Ono (Hirosaki Univ.), Yuto Nagao, Mitsutaka Yamaguchi, Naoki Kawachi (QST), Tsutomu Zeniya (Hirosaki Univ.) MI2021-80 |
It is desired to develop a Compton camera, which has been used for gamma ray detection in space and the environment, as ... [more] | MI2021-80 pp.150-155 |
| IPSJ-AVM, CS, IE, ITE-BCT [detail] | 2021-11-25 11:15 |
Online | Online | CS2021-62 IE2021-21 |
A light field (LF) image is composed of multi-view images acquired by slightly offset viewpoints. We propose a novel met... [more] | CS2021-62 IE2021-21 pp.13-18 |
| SIS, ITE-BCT | 2020-10-01 13:40 |
Online | Online | Image Regularization with Morphological Gradient Priors Using Optimization of Multiple Structuring Elements for Each Pixel Hirotaka Oka, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (CIT) SIS2020-15 |
In image regularization, a method for restoring an image has been proposed in which a morphological gradient is used as ... [more] | SIS2020-15 pp.29-34 |
| MI, MICT [detail] | 2019-11-05 09:20 |
Ibaraki | Univ. of Tsukuba | [Short Paper]
Evaluating image quality of nonlocal total variation and nonlocal means filter based Compressed Sensing in sparse-view CT Yongchae Kim, Katsuya Fujii, Hiroyuki Kudo (Tsukuba Univ.) MICT2019-23 MI2019-50 |
TV(Total Variation) is studied most widely in the field of X-ray CT image reconstruction. However, TV considers only adj... [more] | MICT2019-23 MI2019-50 pp.1-4 |
| ITE-BCT, SIS | 2019-10-24 15:30 |
Fukui | Fukui International Activities Plaza | Image Regularization with Total Variation and Morphological Gradient Priors Using Optimization of Structuring Element for Each Pixel Shoya Oohara, Hirotaka Oka, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (CIT) SIS2019-17 |
As an image prior for image restoration, a method using the sum of morphological gradients has been proposed. Optimizati... [more] | SIS2019-17 pp.47-52 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 14:20 |
Kagoshima | Kagoshima University | Implementation and Evaluation of Total Variation Regularization Decomposition for Super Resolution using an Inexpensive Single Board Computer Hiromasa Takeda, Taiki Kondo, Hiroto Kizuna, Hiroyuki Sato, Eiji Sugino (Iwate Pref. Univ.) IMQ2018-39 IE2018-123 MVE2018-70 |
With the advent of large and high resolution displays in recent years, large screen electronic signage such as digital s... [more] | IMQ2018-39 IE2018-123 MVE2018-70 pp.97-102 |
| MoNA | 2018-12-25 15:30 |
Tokyo | Two types of flows admission control considering bandwidth variation to maximize total user satisfaction Yuya Toyoshima, Sumiko Miyata (SIT) MoNA2018-51 |
Admission control has been proposed to maximize the total user satisfaction level while considering the behavior.In this... [more] | MoNA2018-51 pp.73-78 |
|
| CAS, SIP, MSS, VLD | 2018-06-14 13:50 |
Hokkaido | Hokkaido Univ. (Frontier Research in Applied Sciences Build.) | Robust Image Smoothing Based on Gradient Range Constraints Yuji Akai, Toshihiro Shibata, Ryo Matsuoka (Kagawa Univ.), Masahiro Okuda (The Univ. of Kitakyushu) CAS2018-7 VLD2018-10 SIP2018-27 MSS2018-7 |
Image smoothing methods based on optimization, are widely useful for some important applications, e.g., contrast enhance... [more] | CAS2018-7 VLD2018-10 SIP2018-27 MSS2018-7 pp.33-37 |
| CAS, SIP, MSS, VLD | 2018-06-14 14:10 |
Hokkaido | Hokkaido Univ. (Frontier Research in Applied Sciences Build.) | A Study on Reflection Removal Using Depth Map Toshihiro Shibata, Yuji Akai, Ryo Matsuoka (Kagawa Univ.) CAS2018-8 VLD2018-11 SIP2018-28 MSS2018-8 |
In this paper, we propose a novel reflection removal method for RGB-D images that achieves reflection removal and depth ... [more] | CAS2018-8 VLD2018-11 SIP2018-28 MSS2018-8 pp.39-43 |
| IE | 2017-06-29 14:15 |
Okinawa | IE2017-27 |
(To be available after the conference date) [more] | IE2017-27 pp.13-18 |
|
| MI | 2017-01-18 10:41 |
Okinawa | Tenbusu Naha | [Short Paper]
Super Resolution of MR images via Optimization in Fourier Domain with Low Rank and Smoothness of Image Space Naoki Kawamura, Tatsuya Yokota, Hidekata Hontani (NITech) MI2016-74 |
We use MR images of the same object measured with different magnetic gradient directions in order to construct a MR imag... [more] | MI2016-74 pp.19-20 |
| MI, MICT | 2016-09-16 14:25 |
Tokyo | Koganei Campus, Tokyo University of Agriculture and Technology | [Invited Talk]
Tensor Completion based on Low-Rank and Smooth Structures Tatsuya Yokota (NITECH) MICT2016-42 MI2016-56 |
Completion is a procedure that facilitates the estimation of the values of missing elements of array data, using only th... [more] | MICT2016-42 MI2016-56 pp.35-40 |
| SIP | 2016-08-26 09:45 |
Chiba | Chiba Institute of Technology, Tsudanuma Campus | Proposal of an MRF-based image segmentation with automatic model parameter estimation Yoshihiko Toya, Hiroyuki Kudo (Univ. of Tsukuba) SIP2016-78 |
This paper deals with the segmentation of the image which consists of constant-density background and foreground with no... [more] | SIP2016-78 pp.27-31 |
| MI | 2016-07-26 15:25 |
Hokkaido | Tomakomai Civic Hall | Super Resolution of MR images via TV-minimization in Signal Space and Spectrum Fitting in Fourier Space Naoki Kawamura, Tatsuya Yokota, Hidekata Hontani (NIT), Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume (Kyushu Univ) MI2016-46 |
In usual MRI, one of three directions of spacial resolution is lower than other directions, with their slices shifted. V... [more] | MI2016-46 pp.55-60 |
| PRMU, IE, MI, SIP | 2016-05-19 15:10 |
Aichi | High accuracy reconstruction algorithm for CS-MRI using SDMM Motoi Shibata, Norihito Inamuro, Takashi Ijiri, Akira Hirabayashi (Ritsumeikan Univ.) SIP2016-12 IE2016-12 PRMU2016-12 MI2016-12 |
We propose a high accuracy magnetic resonance imaging (MRI) reconstruction algorithm from compressively sampled measurem... [more] | SIP2016-12 IE2016-12 PRMU2016-12 MI2016-12 pp.59-64 |
|
| MI | 2015-03-03 10:46 |
Okinawa | Hotel Miyahira | Row-Action-Type Method for Total-Variation Regularization and its Application to CT Image Reconstruction Fukashi Yamazaki, Takuya Nemoto, Keita Takaki, Hiroyuki Kudo (Tsukuba Univ.) MI2014-95 |
This paper proposes an exact row-action-type total variation(TV) minimization algorithm which is faster than conventiona... [more] | MI2014-95 pp.199-204 |
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