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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MBE, NC (Joint) |
2020-12-18 14:50 |
Online | Online | Super resolution for sea surface temperature with CNN and GAN Tomoki Izumi, Motoki Amagasaki, Kei Ishida, Masato Kiyama (Kumamoto Univ.)  NC2020-28 |
In this paper, we use the deep neural networks (DNN)-based single image super-resolution (SISR) method for the super res... [more] | NC2020-28 pp.1-6 |
| IE, CS, IPSJ-AVM, ITE-BCT [detail] | 2020-11-27 15:00 |
Online | Online | Comparative Study of Channel Estimation using Deep-learning based Super-resolution Daiki Maruyama, Kenji Kanai, Jiro Katto (Waseda Univ.) CS2020-73 IE2020-32 |
Recently, application of deep learning into communication systems are getting lots of attention to researchers. Especial... [more] | CS2020-73 IE2020-32 pp.39-44 |
| MICT, MI | 2020-11-04 15:50 |
Online | Online | [Short Paper]
An Experimental Study on Color Laparoscopic High-Definition Video Quality Assessment Including Super-resolution Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) MICT2020-19 MI2020-45 |
After considering medical image analysis support, it is one of importance factors to assess high-definition image qualit... [more] | MICT2020-19 MI2020-45 pp.60-61 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 16:35 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) |
As one of image pre-processing method to detect, recognize, and estimate lesion or characteristic region in medical imag... [more] | |
| MI | 2020-01-30 10:50 |
Okinawa | OKINAWAKEN SEINENKAIKAN | [Short Paper]
Study of image quality improvement technique using deep learning for nuclear medicine images Masaya Momiuchi, Takeshi Hara (Gifu Univ), Tetsuro Katafuchi (Gifu Univ of Medical Science), Masaki Matsusako (St. Luke's Hospital), Hiroshi Fujita (Gifu Univ) MI2019-102 |
Spatial resolutions in nuclear medical imaging are not equivalent to ordinary medical images such as CT or MR modalities... [more] | MI2019-102 pp.165-168 |
| IBISML | 2020-01-10 11:25 |
Tokyo | ISM | Real-time 3D localization of multifocal plane microscopy using deep neural network Toshimitsu Aritake (Waseda Univ.), Hideitsu Hino (ISM), Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose (The Univ. of Tokyo), Noboru Murata (Waseda Univ.) IBISML2019-29 |
(To be available after the conference date) [more] | IBISML2019-29 pp.75-81 |
| SANE | 2019-08-23 14:25 |
Tokyo | Electric Navigation Research Institute | Super-resolution Scattering Direction Estimation for Circular SAR Imagery Takuma Watanabe, Daisuke Ogawa, Yasuyuki Oishi (Fujitsu) SANE2019-41 |
Circular synthetic aperture radar (CSAR) is a microwave imaging technique which employs a circular flight trajectory of ... [more] | SANE2019-41 pp.37-42 |
| IE | 2019-06-21 13:00 |
Okinawa | SUPER-RESOLUTION BASED ON BACK-PROJECTION OF INTERPOLATED IMAGE Sawiya Kiatpapan, Takuro Yamaguchi, Masaaki Ikehara (Keio Univ.) IE2019-17 |
Image upscaling to obtain high quality digital image is one of the active research topics as it is applicable in the con... [more] | IE2019-17 pp.1-5 |
|
| EA, SIP, SP | 2019-03-14 13:30 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | [Poster Presentation]
Image Super-Resolution via Generative Adversarial Network Considering Objective Quality Hiroya Yamamoto, Daichi Kitahara, Akira Hirabayashi (Ritsumeikan Univ.) EA2018-115 SIP2018-121 SP2018-77 |
We propose a super-resolution method based on a conventional technique using the generative adversarial network (GAN). T... [more] | EA2018-115 SIP2018-121 SP2018-77 pp.93-98 |
| IBISML | 2019-03-06 13:00 |
Tokyo | RIKEN AIP | Magnetic Resonance Angiography Image Restoration by Super Resolution based on Deep Learning Shizen Kitazaki, Masanori Kawakita, Yutaka Jitumatu (Kyushu Univ.), Shigehide Kuhara (Kyorin Univ.), Akio Hiwatashi, Jun'ichi Takeuchi (Kyushu Univ.) IBISML2018-114 |
Magnetic Resonance Imaging (MRI) is one of the powerful techniques to acquire in vivo information. However, to obtain a ... [more] | IBISML2018-114 pp.65-72 |
| MI | 2019-01-22 10:05 |
Okinawa | Super-resolution of μCT image about dissected lung tissue using Adversarial Dense U-net Tong Zheng, Hirohisa Oda, Holger R. Roth, Masahiro Oda, Shota Nakamura (Nagoya University), Kensaku Mori (Nagoya University/NII) MI2018-61 |
μCT images capture three dimensional structures of tissues with a very high resolution of 100 micrometer or smaller. fin... [more] | MI2018-61 pp.7-12 |
|
| PN, EMT, OPE, EST, MWP, LQE, IEE-EMT [detail] | 2019-01-18 14:45 |
Osaka | Osaka University Nakanoshima Center | Super-resolution for GPR Images by Deep Learning Using Generative Adversarial Networks Jun Sonoda (NIT, Sendai), Tomoyuki Kimoto (NIT, Oita) PN2018-75 EMT2018-109 OPE2018-184 LQE2018-194 EST2018-122 MWP2018-93 |
Recently, deterioration of social infrastructures such as tunnels and bridges become a serious social problem. It is req... [more] | PN2018-75 EMT2018-109 OPE2018-184 LQE2018-194 EST2018-122 MWP2018-93 pp.237-242 |
| PRMU, MVE, IPSJ-CVIM [detail] | 2019-01-17 16:30 |
Kyoto | Ryo Nakao, Seiichi Uchida (Kyushu Univ.) PRMU2018-101 MVE2018-43 |
(To be available after the conference date) [more] | PRMU2018-101 MVE2018-43 pp.39-44 |
|
| CS, IE, IPSJ-AVM, ITE-BCT [detail] | 2018-11-30 14:00 |
Tokushima | Tokushima University (Memorial Hall of Almuni(Engineering)) | IMAGE SUPER-RESOLUTION IN LOW-LIGHT SCENE USING RGB/NIR SENSOR Takayuki Honda (TUS), Daisuke Sugimura (TC), Takayuki Hamamoto (TUS) CS2018-83 IE2018-62 |
We propose a method for multi-frame super-resolution (SR) of low-resolution (LR) color images taken in low-light scenes.... [more] | CS2018-83 IE2018-62 pp.101-104 |
| NLP | 2018-08-08 15:00 |
Kagawa | Saiwai-cho Campus, Kagawa Univ. | Super-Resolution Reconstruction Using Adaptive Nearest Neighbor Interpolation by Iterative Back-Projection Ryuya Ukai, Ryohei Mizutani, Yuki kawai, Teruki Uchida, Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake, Masatoshi Sato (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2018-58 |
The pixel density of display devices are improving, and the importance of the resolution as a criteria to determine the ... [more] | NLP2018-58 pp.31-34 |
| IMQ, HIP | 2018-07-20 13:30 |
Hokkaido | Sapporo City University, Satellite Campus | [Invited Lecture]
Inpainting based on low-dimensional image approximation and its applications Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) IMQ2018-5 HIP2018-32 |
This paper introduces inpainting based on low-dimensional image approximation and its applications. Specifically, low-di... [more] | IMQ2018-5 HIP2018-32 pp.1-4 |
| IE | 2018-06-29 09:55 |
Okinawa | Single Image Super-Resolution with Limited Number of Filters Yusuke Nakahara, Takuro Yamaguchi, Masaaki Ikehara (Keio Univ.) IE2018-22 |
In this paper, we propose a single image super-resolution with limited number of filters based on RAISR. RAISR is well k... [more] | IE2018-22 pp.7-11 |
|
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2018-06-13 15:50 |
Okinawa | Okinawa Institute of Science and Technology | 3D Super Resolution Microscopy using Convolutional Neural Network Masaru Tanaka (Waseda Univ.), Hideitsu Hino (ISM), Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose (The Univ. of Tokyo), Noboru Murata (Waseda Univ.) IBISML2018-11 |
Super-resolution microscopy is a microscopy technique with a resolution beyond the diffraction limit of light. Despite t... [more] | IBISML2018-11 pp.75-80 |
| IMQ | 2018-05-25 14:15 |
Chiba | Chibe Institute of Technology, Tsudanuma Campus | Optimal Design and Coded Image Quality Assessment of the Multi-view and Super-resolution Images Based on Structure of Convolutional Neural Network Norifumi Kawabata (Nagoya Univ.) IMQ2018-3 |
The image screen resolution by viewpoints is low, comparing to single-view images since there are many viewpoints for mu... [more] | IMQ2018-3 pp.15-20 |
| SANE | 2018-05-14 13:15 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Closely Spaced Multiple Target Tracking with Super-Resolution DoA Estimation using Multiple Hypothesis Masanari Nakamura, Tetsutaro Yamada, Yasushi Obata, Hiroshi Kameda (Mitsubishi Electric Corp.) SANE2018-6 |
In this paper, we propose multiple target tracking algorithm for dense targets which move toward the radar. When FBSSP-M... [more] | SANE2018-6 pp.29-34 |
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