| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-19
16:10 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Image and Video Restoration with Deep Learning
Satoshi Iizuka (Univ. of Tsukuba) |
In this talk, I will introduce techniques for restoring black-and-white images and videos with high accuracy using deep ... [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
12:45 |
Online |
online |
Quality Assessment for 3D CG Image Colorization Using Visible Digital Watermarking after Noise Removal Based on Sparse Dictionary Learning Coding
Norifumi Kawabata (Hokkaido Univ.) |
Thus far, we discussed to represent image data whether it is possible or not to represent meaning image how requirement ... [more] |
MMS2022-6 ME2022-31 AIT2022-6
pp.31-36 |
| IST |
2021-06-30
14:00 |
Online |
|
Fabrication and Evaluation of Image Sensor with Mosaic Interference Filter for Near-infrared Color Fundus Camera
Noriaki Kishida, Ze Wang, Honghao Tang, Hironari Takehara (NAIST), Hirohumi Sumi (U Tokyo), Makito Haruta, Hiroyuki Tashiro, Kiyotaka Sasagawa, Jun Ohta (NAIST) |
We are developing a selfie-ready near-infrared color fundus camera that does not dazzle the subject. We have been using ... [more] |
IST2021-36
pp.25-28 |
| IST, ME, IEICE-BioX [detail] |
2019-06-06
13:30 |
Ishikawa |
|
Application of near infrared colorization technique for fundus cameras
Jun Ohta, Hironari Takehara, Makito Haruta, Kiyotaka Sasagawa (NAIST), Hirofumi Sumi (Univ. Tokyo), Motoshi Sobue (nanolux), Ryo Kawasaki, Kohji Nishida (Osaka Univ.) |
This paper describes the application of near infrared coloring technology to a fundus camera. By the near infrared color... [more] |
IST2019-24 ME2019-72
pp.5-8 |
| IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-16
13:00 |
Hokkaido |
Hokkaido Univ. |
Study of Multi-Scale Residual Network for Image-to-Image Translation
Rei Endo, Yoshihiko Kawai, Takahiro Mochizuki (NHK) |
In recent years, deep neural networks have widely studied in various fields such as object recognition, scene classifica... [more] |
MMS2018-35 HI2018-35 ME2018-35 AIT2018-35
pp.319-322 |
| IST |
2013-05-31
15:15 |
Tokyo |
|
[Tutorial Lecture]
Essential Principles of Image Sensors
-- How should we capture image sensors? --
Takao Kuroda (*Panasonic) |
A way how to understand image sensors will be presented. It starts with confirming structures of imag information and sh... [more] |
IST2013-27
pp.49-64 |