Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 11:00 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
Pixels to Precision: Passing into the Future of Super-Resolution Mastery Supatta Viriyavisuthisakul (PIM) IMQ2023-42 IE2023-97 MVE2023-71 |
Single Image Super-Resolution (SISR) involves reconstructing low-resolution images to enhance perceptual quality. Recent... [more] |
IMQ2023-42 IE2023-97 MVE2023-71 p.165 |
SIS |
2023-12-08 14:40 |
Aichi |
Sakurayama Campus, Nagoya City University (Primary: On-site, Secondary: Online) |
[Invited Talk]
Maximum Likelihood DOA Estimation Masakiyo Suzuki (Kitami Inst. Technol.) SIS2023-44 |
DOA estimation of narrow band signals based on Maximum Likelihood method is formulated using arrival signals modeled as ... [more] |
SIS2023-44 pp.111-116 |
CQ, MIKA (Joint) (2nd) |
2023-08-31 10:50 |
Fukushima |
Tenjin-Misaki Sports Park |
[Poster Presentation]
An Exploration of a Graph Super-Resolution Algorithm using Spectra and Degree Distributionof a Graph Super-Resolution Algorithm using Spectra and Degree Distribution Hiroyoshi Sawano (Kwansei Gakuin Univ), Ryotaro Matsuo (Fukuoka Univ), Hiroyuki Ohsaki (Kwansei Gakuin Univ) |
Generally, for large-scale and complex networks, obtaining information on the entire topology is not straightforward due... [more] |
|
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-22 11:30 |
Hokkaido |
Hokkaido Univ. |
Implementation of Hierarchical Object Detection Method for Super High-Definition Image Sensing Makoto Sugaya, Yusei Horikawa, Renpei Yoshida, Tetsuya Matsumura (Nihon Univ.) ITS2022-65 IE2022-82 |
In this paper, we propose a hierarchical object detection method for a 4K super-high definition. This method is a three-... [more] |
ITS2022-65 IE2022-82 pp.130-135 |
IMQ |
2022-05-27 14:25 |
Tokyo |
|
Classification-ESRGAN
-- Synthesis of super-resolution images based on subject categorization -- Jingan Liu, Atsumu Harada, Naiwala P. Chandrasiri (Kogakuin Univ.) IMQ2022-3 |
In recent years, super-resolution techniques have been significantly developed based on deep learning. In particular, GA... [more] |
IMQ2022-3 pp.12-17 |
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 |
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 |
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 |
US |
2017-04-27 10:30 |
Tokyo |
|
Experimental Study for Super-Resolution Ultrasound Imaging Based on Carrier Frequency Sweeping Jing Zhu, Shuntaro Hamazumi, Yihsin Ho, Kan Okubo, Norio Tagawa (Tokyo Metropolitan Univ.) US2017-1 |
Synthetic Aperture (SA) is one of the conventional techniques used for ultrasound imaging, Super resolution FM-Chirp cor... [more] |
US2017-1 pp.1-4 |
IMQ |
2016-12-16 14:20 |
Tokyo |
Tokyo University of Technology |
Application of Classification Algorithm for the Image Quality Assessment of Multi-view 3D CG Images and 5K Images by Using S-CIELAB Color Space Norifumi Kawabata, Masaru Miyao (Nagoya Univ.) IMQ2016-18 |
Toward the 2020 Tokyo Olympic Games, it is expected that general broadcasting of 4K picture quality will be started. The... [more] |
IMQ2016-18 pp.13-18 |
SANE |
2015-11-23 14:50 |
Overseas |
AIT, Bangkok, Thailand |
Super-Resolution Time of Arrival Estimation Using Random Resampling in Compressed Sensing Masanari Noto, Fang Shang, Shouhei Kidera, Tetsuo Kirimoto (UEC) SANE2015-54 |
Super-resolution time of arrival (TOA) estimation techniques are strongly demanded for general radar system. As one of t... [more] |
SANE2015-54 pp.27-32 |
SIS |
2015-03-06 10:40 |
Tokyo |
Meiji Univ. Nakano Campus (Tokyo) |
High speed Sparse-coding Superresolution by Multiple Degenerated Basis Dictionaries Naoki Motohashi, Satoshi Nakamura, Toshihiro Suzuki (Ricoh) SIS2014-106 |
Single-frame Superresolution (Single-frame SR) is a technique for improving the quality of low resolution images, which ... [more] |
SIS2014-106 pp.85-90 |
SIP, EA, SP |
2015-03-03 09:00 |
Okinawa |
|
[Poster Presentation]
MSIST-based Image Restoration with Non-separable Oversampled Lapped Transforms Sho Wakasugi, Shogo Muramatsu (Niigata Univ) EA2014-90 SIP2014-131 SP2014-153 |
This work proposes, an image restoration technique with modified subbsnd-adaptive iterative shrinkage thresholding (MSIS... [more] |
EA2014-90 SIP2014-131 SP2014-153 pp.91-96 |
US |
2015-02-27 11:30 |
Kanagawa |
IHI Yokohama |
Efficient Realization of Super Resolution FM-Chirp Correlation Method Using Synthetic Aperture Scheme Takayuki Wada, Kan Okubo, Norio Tagawa (Tokyo Metro. Univ.), Yoshiyasu Hirose (ITOCHU Techno-Solutions Corp.) US2014-97 |
This study addresses the efficient realization of super resolution FM-chirp correlation method (SCM) using synthetic ape... [more] |
US2014-97 pp.19-22 |
RCC, ASN, NS, RCS, SR (Joint) |
2014-08-01 16:05 |
Kyoto |
Kyoto Terrsa |
A Fall Detection System Using Low Resolution Infrared Array Sensor Shota Mashiyama, Jihoon Hong, Tomoaki Ohtsuki (Keio Univ.) ASN2014-81 |
Nowadays, aging society is a big problem and demand for monitoring systems is becoming higher. Under this circumstance, ... [more] |
ASN2014-81 pp.219-224 |
AP, SAT (Joint) |
2014-07-24 10:10 |
Gifu |
Gero Citizen Hall |
Propagation measurements in time-varying channels via super-resolution algorithms Hiroaki Hirai, Hideto Aikawa (Mitsubishi Electric) AP2014-49 |
This paper presents the measurements results under time-varying propagation condition where a vehicle runs through betwe... [more] |
AP2014-49 pp.7-12 |
CAS, SIP, MSS, VLD, SIS [detail] |
2014-07-09 15:50 |
Hokkaido |
Hokkaido University |
high speed super-resolution based on compressed sensing Tomohiro Yamashita, Jaehoon Yu, Yoshinori Takeuchi, Masaharu Imai (Osaka Univ.) CAS2014-16 VLD2014-25 SIP2014-37 MSS2014-16 SIS2014-16 |
This paper proposes a speed-up superresolution(SR) method based on
compressed sensing, where SR is a class of technique... [more] |
CAS2014-16 VLD2014-25 SIP2014-37 MSS2014-16 SIS2014-16 pp.75-80 |
RCS, SIP |
2014-01-23 13:25 |
Fukuoka |
Kyushu Univ. |
Shock Filter Based on Non-Local Means for Image Super-Resolution Taichi Yoshida, Masaaki Ikehara (Keio Univ.) SIP2013-101 RCS2013-271 |
In this paper,we propose a shock filter based on the non-local means algorithm for image super-resolution.The super-reso... [more] |
SIP2013-101 RCS2013-271 pp.95-99 |