IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 178 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
MI, MICT [detail] 2019-11-05
16:10
Ibaraki Univ. of Tsukuba [Short Paper] Proposal of fault-tolerant CT image reconstruction using Nonlocal Total Variation and its application to metal artifact reduction
Kazuki Chigita (Univ. Tsukuba), Jian Dong (TUTE), Yongchae Kim, Hiroyuki Kudo (Univ. Tsukuba) MICT2019-37 MI2019-64
When some abnormal data is included in the projection data, the normal image reconstruction method increases the influen... [more] MICT2019-37 MI2019-64
pp.55-56
PRMU, MI, IPSJ-CVIM [detail] 2019-09-05
10:35
Okayama   [Short Paper] Dynamic PET Image Reconstruction using Non-Negative Matrix Decomposition with Deep Image Prior
Tomoshige Shimomura, Kazuya Kawai (NIT), Muneyuki Sakata (Tokyo Metro. Inst. Gerontology), Yuichi Kimura (KU), Tatsuya Yokota, Hidekata Hontani (NIT) PRMU2019-24 MI2019-43
We present a PET image reconstruction method that can reconstruct dynamic PET images with high SN ratio and can simultan... [more] PRMU2019-24 MI2019-43
pp.69-70
SANE 2019-08-23
13:00
Tokyo Electric Navigation Research Institute Three-dimensional Reconstruction of Man-made Structures for Multibaseline Circular SAR Measurements
Takuma Watanabe, Daisuke Ogawa, Yasuyuki Oishi (Fujitsu) SANE2019-38
Circular synthetic aperture radar (CSAR) is a microwave imaging technique which employs a circular flight trajectory of ... [more] SANE2019-38
pp.19-24
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-15
10:40
Kagoshima Kagoshima University Image quality evaluation of low contrast CT images using moving average filters
Keisuke Fujii (Nagoya Univ./NCCHE), Kuniharu Imai, Mitsuru Ikeda, Chiyo Yamauchi-Kawaura (Nagoya Univ.), Keiichi Nomura, Yoshihisa Muramatsu, Hiroyuki Ota (NCCHE) IMQ2018-60 IE2018-144 MVE2018-91
Image contrast and noise are one of important indices for evaluating image quality of low contrast CT images such as abd... [more] IMQ2018-60 IE2018-144 MVE2018-91
pp.209-212
EA, SIP, SP 2019-03-14
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] MR Image Reconstruction Using Two Types of Dictionaries and the Diagonalization of a BCCB Matrix
Kazuma Nakamoto, Kosuke Fujii, Daichi Kitahara, Akira Hirabayashi (Ritsumeikan Univ.) EA2018-112 SIP2018-118 SP2018-74
We propose a high-quality MR image reconstruction method using both of an adaptive orthogonal dictionary and a pre-train... [more] EA2018-112 SIP2018-118 SP2018-74
pp.75-80
NC, MBE
(Joint)
2019-03-06
15:50
Tokyo University of Electro Communications PET Image Reconstruction by use of Dictionary Learning
Naohiro OKumura, Hayaru Shouno (UEC) NC2018-85
Nowadays, Positron Emission Tomography (PET) scan is focused in the field of pathological diagnosis.In order to obtain a... [more] NC2018-85
pp.221-226
MBE 2019-01-31
10:00
Saga Saga University Development of a System for Visual Image Reconstruction by Decoding Brain State Using a Compact EEG Recorder
Aina Arai, Ryota Horie (SIT) MBE2018-57
In this study, we proposed a method to reconstruct images from EEG signals measured from a subject who looked at the im... [more] MBE2018-57
pp.1-4
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Posterior mean approximation solution combining multiple image prior distributions in MR image reconstruction
Nanako Kubota, Ken Harada (Waseda Univ.), Koji Fujimoto, Tomohisa Okada (Kyoto Univ.), Masato Inoue (Waseda Univ.) IBISML2018-47
In the MR image reconstruction, combining multiple image prior distributions is preferred to obtain better results, but ... [more] IBISML2018-47
pp.23-28
IMQ 2018-10-19
14:05
Kyoto Kyoto Institute of Technology Evaluation of Imaging Method by the Video Coding Efficiency and Its Analysis
Kenji Sugiyama, Go Kasahara (Seikei Univ.) IMQ2018-12
In color imaging, single sensor system with color filter array (CFA) is popular, especially with Bayer CFA. The improvem... [more] IMQ2018-12
pp.7-12
NLP 2018-08-08
14:10
Kagawa Saiwai-cho Campus, Kagawa Univ. Development of Deep Neural Network for Initial Values Generation of Dynamical Image-Reconstruction System
Ken'ichi Fujimoto, Yuichi Tanji, Hiroyuki Kitajima, Yo Horikawa (Kagawa Univ.) NLP2018-56
One of the authors et al.¥ have proposed a continuous-time dynamical system for reconstructing tomographic images from a... [more] NLP2018-56
pp.21-24
IE 2018-06-29
13:50
Okinawa   Image Coding based on Completion using Generative Adversarial Networks
Shota Orihashi, Shinobu Kudo, Masaki Kitahara, Atsushi Shimizu (NTT) IE2018-27
In this paper, we propose an image coding method applying image completion using the framework of generative adversarial... [more] IE2018-27
pp.33-38
PRMU, MI, IE, SIP 2018-05-18
14:45
Gifu   Low-Dose CT Image Reconstruction with Multiclass Dictionary Learning
Hiryu Kamoshita, Daichi Kitahara, Akira Hirabayashi (Ritsumeikan Univ.) SIP2018-15 IE2018-15 PRMU2018-15 MI2018-15
We propose a high-precision CT image reconstruction method from low-dose X-ray projection data. In conventional reconstr... [more] SIP2018-15 IE2018-15 PRMU2018-15 MI2018-15
pp.63-68
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
13:30
Okinawa   Quantitative Evaluation of Organ Surface Reconstruction from Stereo Laparoscopic Images
Mutsumi Shibata, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Central Center Hospital), Kensaku Mori (Nagoya Univ.) MI2017-99
In this paper, we report evaluation results of the organ surface reconstruction method from stereo laparoscopic images. ... [more] MI2017-99
pp.117-122
IBISML 2017-11-10
13:00
Tokyo Univ. of Tokyo Compressed Sensing CT image reconstruction using Bayesian Optimization for mixing multiple image priors
Tomonori Suga, Masato Inoue (Waseda Univ.) IBISML2017-73
In order to reduce the amount of radiation exposure, which increases the risk of cancer, many researches have been done ... [more] IBISML2017-73
pp.283-288
VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2017-11-08
14:25
Kumamoto Kumamoto-Kenminkouryukan Parea Pixel-Wise Exposure Controllable Column Parallel Readout Image Sensor and HDR Image Reconstruction
Takuro Kosaka, Takayuki Hamamoto (TUS) CPM2017-90 ICD2017-49 IE2017-75
In this paper, we propose a prototype CMOS image sensor which can control exposure pattern of each pixel. By adding colu... [more] CPM2017-90 ICD2017-49 IE2017-75
pp.53-56
PRMU, IBISML, IPSJ-CVIM [detail] 2017-09-15
15:50
Tokyo   Face Image Generation System Using Attribute information with DCGANs
Yurika Sagawa, Masafumi Hagiwara (Keio Univ.) PRMU2017-52 IBISML2017-24
In this paper, we propose an attribute added face image generation system using Deep Convolutional Generative Adversaria... [more] PRMU2017-52 IBISML2017-24
pp.107-112
NS, ASN, RCC, RCS, SR
(Joint)
2017-07-20
14:00
Hokkaido Hokkaido Univ. High-Speed Visible Light Communication using Off -the-shelf Video Camera by Space Division Multiplexing
Shogo Amaya, Shota Shimada (Hokkaido Univ), Takayuki Akiyama (The Graduate Univ for Advanced Studies), Hiromichi Hashizume (NII), Masanori Sugimoto (Hokkaido Univ) RCC2017-36 NS2017-57 RCS2017-128 SR2017-51 ASN2017-45
A visible light communication (VLC) technique using off-the-shelf video cameras such as built-in smart-phone camera is p... [more] RCC2017-36 NS2017-57 RCS2017-128 SR2017-51 ASN2017-45
pp.127-132(RCC), pp.141-146(NS), pp.181-186(RCS), pp.139-144(SR), pp.159-164(ASN)
NLP 2017-07-13
15:45
Okinawa Miyako Island Marine Terminal A Study of Image Inpainting Methods by using SD-CNN
Ryohei Mizutani, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Sathit Prasomphan (King Mongkut Univ. of Tech. North Bangkok), Mamoru Tanaka (Sophia Univ.) NLP2017-37
In recent years, the practical use of digital images have been progressed because of the popularization and advance of i... [more] NLP2017-37
pp.53-57
EMT, IEE-EMT 2017-06-02
13:00
Tokyo Nihon University Realtime 3D image reconstruction methods based on compressive sensing with CUDA support
Iakov Chernyak, Motoyuki Sato (Tohoku Univ.) EMT2017-3
We developed a number of GPU optimized 3D radar image reconstruction algorithms and applied it for the 3D sparse array r... [more] EMT2017-3
pp.19-24
 Results 41 - 60 of 178 [Previous]  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan