ITE Technical Group Submission System
Conference Schedule
Online Proceedings
[Sign in]
    [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 1 - 15 of 15  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
HI 2023-03-15
13:50
Online   Analysis of Smoothed LHE and Multi Layer Methods for Processing Images with Optical Illusions
Kai Kanamori, Ambalatahnkandy Prasoon, Masayuki Ikebe (Hokkaido Univ.)
To replicate human visual perception, we analyze processing images with optical illusion using edge preserving filters a... [more] HI2023-11
pp.21-24
IST 2022-09-22
16:20
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Image Classification Using Neural Network for Feature Extractable CMOS Image Sensor
Kohei Yamamoto, Kota Yoshida, Shunsuke Okura (Ritsumei Univ)
CMOS image sensors are expected to be integrated with AI using deep learning for new technologies. Our research group ha... [more] IST2022-39
pp.21-24
BCT, IEICE-SIS 2021-10-08
10:50
Online online A Study on Contrast Enhancement of Images for SfM
Kazuaki Takahashi, Masaaki Fujiyoshi (Tokyo Metro. Univ.)
This paper investigates the application of contrast enhancement to photographs for structure from motion (SfM), where Sf... [more]
IEICE-SDM, IEICE-ICD, IST [detail] 2021-08-17
13:55
Online Online Study of an Event-Driven CMOS Image Sensor Using Deep Learning (1) -- Verification of Image Classification Using Low Bit-Resolution Feature Images --
Kohei Yamamoto, Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ.)
Currently, CMOS image sensors are expected to be integrated with AI using deep learning to create new technologies.
C... [more]
IST2021-43
pp.29-33
IEICE-SDM, IEICE-ICD, IST [detail] 2021-08-17
14:45
Online Online Image Recognition of HDR Images with Dual Gain CMOS Image Sensor
Takuya Kitamura, Kota Yoshida, Tetsushi Ikeda (Ritsumeikan Univ.), Shinichi Ikenaga, Isao Takayanagi (Brillnics), Shunsuke Okura (Ritsumeikan Univ.)
High dynamic range (HDR) CMOS image sensors are expected to be used for machine vision applications for recognition unde... [more] IST2021-45
pp.41-45
3DMT, IEICE-SIS, IPSJ-AVM [detail] 2020-06-03
13:20
Online G Square (Hakodate Community Plaza) A Proposal of Backlit Image Enhancement by Using Histogram Specification
Yoshiaki Ueda (Fukuoka Univ.), Takanori Koga (Kindai Univ.), Noriaki Suetake (Yamaguchi Univ.)
The intensity distribution of the backlit image is similar to a bimodal distribution. In this report, we propose a histo... [more]
IIEEJ, AIT 2018-08-10
10:25
Nagano Shinshu Univ. A Consideration on MV Feature Information for Screen Shake Extraction
Mei kodama (Hiroshima Univ.)
If videos viewed by viewers have screen shake information, it is one of the important issue to prevent viewers from VIMS... [more] AIT2018-164
pp.45-48
IIEEJ, AIT 2018-08-10
11:00
Nagano Shinshu Univ. Data Hiding Method using Region Division and Histogram Manipulation
Ryoma Ito (Shinshu Univ.), KokSheik Wong (MUM), Simying Ong (UM), Kiyoshi Tanaka (Shinshu Univ.)
A data hiding method using region division and histogram manipulation is proposed in this paper. The original image is d... [more] AIT2018-165
pp.49-52
HI 2014-03-04
15:40
Tokyo Tokyo University of Agriculture and Technology Fingernail Area Extraction Method Using Characteristics of Color
Noriaki Fujishima, Kiyoshi Hoshino (Univ. of Tsukuba)
In this study, we propose a new fingernail area extraction method using characteristics of color. First, a value of colo... [more] HI2014-36
pp.33-36
IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] 2014-02-18
13:35
Hokkaido Hokkaido Univ. Density Estimation of Random-Valued Impulse Noise
Kohei Inoue, Kenji Hara, Kiichi Urahama (Kyushu Univ.)
We propose a method for estimating the density of random-valued impulse noise (RVIN) in an image corrupted by RVIN of wh... [more]
IST 2012-05-28
11:00
Tokyo   Local Adaptive High-Speed Single Image Dehazing
Akira Mizuno, Masayuki Ikebe, Masaki Igarashi, Junichi Motohisa (Hokkaido Univ.)
We propose a fast single image dehazing method that uses the local statistics of the dark channel. In single image dehaz... [more] IST2012-18
pp.9-12
IST 2011-11-18
13:50
Tokyo Kikai-Shinko-Kaikan Bldg. An approach to control halo suppression for local adaptive tone mapping
Sousuke Shimoayama, Masayuki Ikebe, Masaki Igarashi, Akira Mizuno, Junichi Motohisa (Hokudai)
Local Histogram Equalization (LHE), which is efficient for High Dynamic Range (HDR) compression, requires a large amount... [more] IST2011-70
pp.9-12
AIT, IIEEJ 2011-03-11
11:40
Tokyo Tokyo Denki Univ. An Efficient Texture Retrieval Method for Urban Landscape Restoration
Yusuke Hosoi, Katsuhisa Kanazawa, Tomoaki Moriya, Tokiichiro Takahashi (TDU)
Urban landscape restoration by 3D computer graphics is active in recent years. If buildings are reconstructed one by one... [more] AIT2011-23
pp.41-44
IST 2009-12-10
13:30
Tokyo Univ. of Tokyo A high-speed local contrast correction method without local pixel-block dependency
Sousuke Shimoyama, Masayuki Ikebe, Masaki Igarashi, Jyunichi Motohisa (Hokkaido Univ.)
Local Histogram Equalization (LHE), which is efficient for High Dynamic Range (HDR) compression, requires a large amount... [more] IST2009-91
pp.5-8
IST 2008-12-16
14:40
Tokyo Univ. of Tokyo [Invited Talk] A Psychologically-Inspired VLSI Brain Model System for Flexible Visual Perception
Tadashi Shibata (Univ. of Tokyo)
The performance of a today’s computer is really marvelous. It can carry out a prodigious amount of numerical calculation... [more]
 Results 1 - 15 of 15  /   
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format


[Return to Top Page]

[Return to ITE Web Page]


The Institute of Image Information and Television Engineers (ITE), Japan