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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS | 2024-03-15 10:20 |
Kanagawa | Kanagawa Institute of Technology (Primary: On-site, Secondary: Online) |
Enhancement of Hazy Image Using Convex Combination Coefficients of White, Black, and Pure Color Mashiho Mukaida, Haruhito Suzuki (Yamaguchi Univ.), Takanori Koga (Kindai Univ.), Noriaki Suetake (Yamaguchi Univ.)  SIS2023-56 |
Many enhancement methods for the visibility improvement of hazy image have been proposed. However, the conventional meth... [more] | SIS2023-56 pp.61-66 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 11:00 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
From 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 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 13:50 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
IMQ2023-87 IE2023-142 MVE2023-116 |
This paper introduces physics-inspired synthesized underwater image dataset (PHISWID). Deep learning approaches to unde... [more] |
IMQ2023-87 IE2023-142 MVE2023-116 pp.396-401 |
| QIT (2nd) |
2023-12-17 17:30 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Proposal to Reduce Degradation of Quantum Images by Contrast and Edge Enhancement Processing Chihiro Dogo, Kazuhiro Saito (KDDI Research) |
Quantum image processing requires encoding image information expressed in classical 0/1 into a quantum state. There are ... [more] | |
| MSS, CAS, SIP, VLD | 2023-07-06 15:20 |
Hokkaido | (Primary: On-site, Secondary: Online) |
A Study on Golomb Coding for Scrambled Domain Layered Coding Compatible with JPEG XS Takayuki Nakachi (Univ. of the Ryukyus), Hiroyuki Kimiyama (Daido), Mitsuru Murayama (KAIST) CAS2023-10 VLD2023-10 SIP2023-26 MSS2023-10 |
In this report, we propose a Golomb coding method for scrambled domain layered coding compatible with JPEG XS. The propo... [more] | CAS2023-10 VLD2023-10 SIP2023-26 MSS2023-10 pp.47-52 |
| BioX, SIP, IE, ITE-IST, ITE-ME [detail] | 2023-05-19 14:30 |
Mie | Sansui Hall, Mie University (Primary: On-site, Secondary: Online) |
Study of finger-vein images improvement for noncontact finger vein recognition Kazuya Nakano (Seikei Univ.), Masahiro Ishikawa (Saitama Medical Univ.), Hiroyuki Suzuki (Gunma Univ.) SIP2023-16 BioX2023-16 IE2023-16 |
Currently, we are studying noncontact authentication of finger vein. However, the light other than near infrared light f... [more] | SIP2023-16 BioX2023-16 IE2023-16 pp.74-76 |
| SIS | 2023-03-02 15:00 |
Chiba | Chiba Institute of Technology (Primary: On-site, Secondary: Online) |
A Proposal of Night Vision Algorithm by Variable ε-filter and Multiscale Smoothing-based Image Enhancement Mashiho Mukaida, Noriaki Suetake (Yamaguchi Univ.) SIS2022-47 |
Images taken under low-light conditions such as at night or in a dark rooms are dark and their visibilities are very low... [more] | SIS2022-47 pp.37-42 |
| SIS | 2022-12-06 09:30 |
Osaka | (Primary: On-site, Secondary: Online) |
A Proposal of Night Vision Algorithm by a Modified Gamma Transform and S-shape Functions-based Multiscale Image Enhancement Mashiho Mukaida, Noriaki Suetake (Yamaguchi Univ.) SIS2022-34 |
Images taken under low-light conditions such as at night or in a dark rooms are dark and their visibilities are very vis... [more] | SIS2022-34 pp.62-67 |
| SIS | 2022-12-06 09:50 |
Osaka | (Primary: On-site, Secondary: Online) |
A Proposal of Backlit Image Enhancement Method Suppressing Change of Lightness Order Masato Akai (Yamaguchi Univ.), Yoshiaki Ueda (Fukuoka Univ.), Takanori Koga (Kindai Univ.), Noriaki Suetake (Yamaguchi Univ.) SIS2022-35 |
Bright and dark regions in a backlit image decrease its visibility. Conventional image enhancement methods tend to cause... [more] | SIS2022-35 pp.68-73 |
| MI | 2022-07-08 16:20 |
Hokkaido | (Primary: On-site, Secondary: Online) |
[Short Paper]
Multi-phase CT Image Segmentation with Single-Phase Annotation Using Adversarial Unsupervised Domain Adaptation Swathi Ananda, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua HAN (Yamaguchi Univ.), Lanfen Lin, Hongjie Hu (Zhejiang Univ.), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-38 |
Multi-phase computed tomography (CT) images are widely used for the diagnosis of liver disease, since different phase ha... [more] | MI2022-38 pp.24-25 |
| EMM | 2022-03-07 15:40 |
Online | (Primary: Online, Secondary: On-site) (Primary: Online, Secondary: On-site) |
[Poster Presentation]
A Reversible Contrast Enhancement method in HSI Color Space Ayana Wakimizu (Chiba Univ.), Shoko Imaizimi (Chiba univ.) EMM2021-101 |
In this paper, we propose a new reversible image processing method for color images. While the conventional method enha... [more] |
EMM2021-101 pp.52-57 |
| SIS | 2022-03-03 13:50 |
Online | Online | A Proposal of Night Vision Algorithm on Equ-Hue Plane in RGB Color Space Mashiho Mukaida (Yamaguchi Univ.), Yoshiaki Ueda (Fukuoka Univ.), Eiji Uchino, Noriaki Suetake (Yamaguchi Univ.) SIS2021-34 |
Images taken under low-light conditions such as at night or in a dark rooms are dark and have low visibility. Recently, ... [more] | SIS2021-34 pp.20-25 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 15:50 |
Online | Online | Statistical Analysis on Estimation of Laparoscopic Image Region of Interest Including Contrast Enhancement Based on Saliency Map Norifumi Kawabata (Hokkaido Univ.), Toshiya Nakaguchi (Chiba Univ.) ITS2021-34 IE2021-43 |
In the medical field such as hospital, there are many chance for medical workers to see medical images visually. Therefo... [more] | ITS2021-34 IE2021-43 pp.55-60 |
| SIS, IPSJ-AVM | 2021-06-24 10:30 |
Online | Online | An Improvement of LIME by Soft-closing Using Local Histogram Filter Mashiho Mukaida (Yamaguchi Univ.), Seiichi Kojima (Taiko Kikai), Eiji Uchino, Noriaki Suetake (Yamaguchi Univ.) SIS2021-4 |
(To be available after the conference date) [more] | SIS2021-4 pp.19-24 |
| EMM, IT | 2021-05-21 14:00 |
Online | Online | An MSB Prediction-Based Method with Less Prediction Errors for Reversible Data Hiding in Encrypted Images Kotaro Yamamura, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) IT2021-13 EMM2021-13 |
In this paper, we propose an MSB prediction-based reversible data hiding method in encrypted images. The proposed method... [more] | IT2021-13 EMM2021-13 pp.72-77 |
| PRMU, IPSJ-CVIM | 2021-03-05 15:30 |
Online | Online | [Short Paper]
Accurate underwater model based dataset and analysis Shunsuke Takao (PARI) PRMU2020-96 |
Although underwater images are important in many fields, image degradation such as color distortion or declined contra... [more] |
PRMU2020-96 p.157 |
| SIS, ITE-BCT | 2020-10-01 10:30 |
Online | Online | A Proposal of Backlit Image Enhancement Method Improving Visibility of Dark Regions Masato Akai (Yamaguchi Univ.), Yoshiaki Ueda (Fukuoka Univ.), Takanori Koga (Kindai Univ.), Noriaki Suetake (Yamaguchi Univ.) SIS2020-11 |
A backlit image often includes both of bright regions and extremely dark regions. The visibility of the dark regions in ... [more] | SIS2020-11 pp.5-10 |
| SIP | 2020-08-28 13:30 |
Online | Online | [Invited Talk]
Image smoothing based on L0 gradient regularization and its applications Ryo Matsuoka (Univ. of Kitakyushu) SIP2020-37 |
This talk outlines research on image processing based on L0 gradient regularization that promotes sparseness in the grad... [more] | SIP2020-37 p.33 |
| SIS, IPSJ-AVM, ITE-3DMT [detail] | 2020-06-03 13:20 |
Online | Online | A Proposal of Backlit Image Enhancement by Using Histogram Specification Yoshiaki Ueda (Fukuoka Univ.), Takanori Koga (Kindai Univ.), Noriaki Suetake (Yamaguchi Univ.) SIS2020-2 |
The intensity distribution of the backlit image is similar to a bimodal distribution. In this report, we propose a histo... [more] | SIS2020-2 pp.7-11 |
| 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] | |
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