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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS | 2023-12-08 11:20 |
Aichi | Sakurayama Campus, Nagoya City University (Primary: On-site, Secondary: Online) |
A Proposal of Hue Preserving Contrast Enhancement Method Using Smoothed Histogram in Each RGB Component Ryushiro Matsumoto, Mashiho Mukaida, Noriaki Suetake (Yamaguchi Univ.)  SIS2023-38 |
Many color image enhancement methods have been proposed to improve the image quality of the captured image. However, by... [more] | SIS2023-38 pp.77-82 |
| SIS, ITE-BCT | 2023-10-12 15:35 |
Yamaguchi | HISTORIA UBE (Primary: On-site, Secondary: Online) |
A Proposal of Hue Preserving Image Enhancement Method for Elderly Person Manaka Yamaguchi, Ayaka Fujita, Mashiho Mukaida (Yamaguchi Univ.), Chiaki Ueda (Okayama Univ. of Science), Tadahiro Azetsu (Yamaguchi Prefectural Univ.), Noriaki Suetake (Yamaguchi Univ.) SIS2023-17 |
[more] | SIS2023-17 pp.7-12 |
| 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 |
| 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 |
| MI | 2022-01-25 15:45 |
Online | Online | Exploiting Perfusion MR Features for Salivary Gland Tumor Classification Keita Takeda, Misa Sumi, Tomoya Sakai (Nagasaki Univ.) MI2021-47 |
Learning perfusion features from dynamic contrast-enhanced MRI is effective for classification of salivary gland tumors.... [more] | MI2021-47 pp.16-21 |
| EMM, EA, ASJ-H | 2021-11-15 09:00 |
Online | Online | [Poster Presentation]
An Extension of Reversible Image Enhancement Processing for Saturation and Brightness Contrast Yuki Sugimoto, Shoko Imaizumi (Chiba Univ) EA2021-34 EMM2021-61 |
In this paper, we propose a reversible image processing method for color images. The proposed method not only enhances b... [more] | EA2021-34 EMM2021-61 pp.43-48 |
| EMM, EA, ASJ-H | 2021-11-15 13:30 |
Online | Online | [Poster Presentation]
On Visibility Improvement of Image with Biased Brightness Distribution by Near Hue-preserving Color Enhancement Method Using Reversible Digital Watermarking Rio Kurokawa, Kazuki Yamato, Madoka Hasegawa (Utsunomiya Univ.) EA2021-39 EMM2021-66 |
We have been investigating the near hue-preserving color enhancement method to enhance the contrast and saturation of co... [more] | EA2021-39 EMM2021-66 pp.69-73 |
| SIS, ITE-BCT | 2021-10-08 10:50 |
Online | Online | A Study on Contrast Enhancement of Images for SfM Kazuaki Takahashi, Masaaki Fujiyoshi (Tokyo Metro. Univ.) SIS2021-18 |
This paper investigates the application of contrast enhancement to photographs for structure from motion (SfM), where Sf... [more] | SIS2021-18 pp.42-47 |
| EMM | 2021-03-05 09:55 |
Online | Online | A Reversible Image Processing Method for Saturation and Contrast Enhancement Yuki Sugimoto, Shoko Imaizumi (Chiba Univ.) EMM2020-76 |
In this paper, we propose an image processing method for color images to enhance both saturation and contrast with rever... [more] | EMM2020-76 pp.52-57 |
| 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] | |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 13:30 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
Chromatic Aberration Correction of Color Images Using Deep Learning with Each Channel Training Based on Contrast Enhancement Naoto Nagashima, Mitsuhiko Meguro (Nihon Univ.) ITS2019-35 IE2019-73 |
In this paper, we propose a new correcting method of chromatic aberration occurring in color images using Deep Learning.... [more] | ITS2019-35 IE2019-73 pp.183-188 |
| SIS | 2019-03-07 11:35 |
Tokyo | Tokyo Univ. Science, Katsushika Campus | A Proposal of Image Lightness Conversion and Sharpening Taking Account of Visual Feature of Elderly Person Daiki Moriyama (Yamaguchi Univ.), Chiaki Ueda (Okayama Univ. of Science), Tadahiro Azetsu (Yamaguchi Prefectural Univ.), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2018-49 |
The performance of human visual functions degrades with age. For instance, the visual field becomes dark owing to a decr... [more] | SIS2018-49 pp.65-70 |
| CAS, SIP, MSS, VLD | 2018-06-14 13:50 |
Hokkaido | Hokkaido Univ. (Frontier Research in Applied Sciences Build.) | Robust Image Smoothing Based on Gradient Range Constraints Yuji Akai, Toshihiro Shibata, Ryo Matsuoka (Kagawa Univ.), Masahiro Okuda (The Univ. of Kitakyushu) CAS2018-7 VLD2018-10 SIP2018-27 MSS2018-7 |
Image smoothing methods based on optimization, are widely useful for some important applications, e.g., contrast enhance... [more] | CAS2018-7 VLD2018-10 SIP2018-27 MSS2018-7 pp.33-37 |
| SIS, IPSJ-AVM, ITE-3DMT [detail] | 2018-06-07 14:00 |
Hokkaido | Jozankei View Hotel | A Proposal of Contrast Enhancement Method by Using Smoothed Histogram on Equi-Hue Plane in RGB Color Space Yoshiaki Ueda (Yamaguchi Univ.), Hideaki Misawa (NIT, Ube College), Shota Furukawa (NIT, Kagoshima College), Takanori Koga (NIT, Tokuyama College), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2018-3 |
In this report, we propose a hue-preserving contrast enhancement method without gamut problem for color images. In the p... [more] | SIS2018-3 pp.29-33 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2018-02-16 11:00 |
Hokkaido | Hokkaido Univ. | Image contrast enhancement based on noise aware shadow-up function Chiencheng Chien, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) ITS2017-81 IE2017-113 |
This paper proposes a novel image contrast enhancement method based on a noise aware shadow-up function. Images taken b... [more] |
ITS2017-81 IE2017-113 pp.245-250 |
| SIS | 2017-12-15 11:30 |
Tottori | Tottori Prefectural Center for Lifelong Learning | A Proposal of Contrast Enhancement Method by Using Multi-Dimensional Histogram Transfer Yoshiaki Ueda (Yamaguchi Univ.), Takanori Koga (NIT, Tokuyama College), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2017-52 |
As one of the most popular contrast enhancement methods, there is a histogram equalization (HE). In the HE, an input ima... [more] | SIS2017-52 pp.107-112 |
| SIS, IPSJ-AVM | 2017-10-12 13:00 |
Nara | Todaiji Culture Center | Effect of Contrast Enhancement in Tone Mapping Operation for HDR images Ayumi Sada, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) SIS2017-21 |
This paper proposes a new tone mapping operation for HDR images with biased intensity distribution. In conventional to... [more] |
SIS2017-21 pp.1-6 |
| IE | 2017-06-29 13:45 |
Okinawa | Pseudo Multi-Exposure Image Fusion Based on a Single Image Yuma Kinoshita (Tokyo Metro. Univ.), Taichi Yoshida (Nagaoka Univ. of Tech.), Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) IE2017-26 |
This paper proposes a novel pseudo multi-exposure image fusion based on a single image.Multi-exposure image fusion is a ... [more] | IE2017-26 pp.7-12 |
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| SIS | 2017-03-02 15:40 |
Kanagawa | Kanagawa Inst. Tech. Yokohama Office | Contrast Enhancement Method Based on Smoothed Joint Distribution of Saturation and Value Components Yoshiaki Ueda (Yamaguchi Univ.), Takanori Koga (NIT, Tokuyama College), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2016-52 |
A histogram equalization (HE) is widely used for image contrast enhancement. In many cases, HE is applied to saturation ... [more] | SIS2016-52 pp.59-64 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2016-02-22 15:00 |
Hokkaido | Hokkaido Univ. | Image Contrast Enhancement by Interpolative Histogram Specification Hengjun Yu, Kohei Inoue, Kenji Hara, Kiichi Urahama (Kyushu Univ.) ITS2015-68 IE2015-110 |
We propose a method for enhancing the contrast of grayscale images by interpolative histogram specification, which trans... [more] | ITS2015-68 IE2015-110 pp.91-96 |
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