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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI, MICT | 2023-11-14 13:00 |
Fukuoka | Brain Disease Classification Based on Brain MRI Images Using 3D-CNN Daisuke Hayashi, Akio Nagasaka, Yuji Mochizuki, Takayuki Hayashi (Hitachi), Takefumi Ueno (NHO Hizen Psychiatric Center)  MICT2023-29 MI2023-22 |
Schizophrenia and Alzheimer’s disease are brain diseases that cause structural changes in the brain. In this paper, we c... [more] | MICT2023-29 MI2023-22 pp.15-20 |
|
| MI, MICT | 2023-11-14 15:40 |
Fukuoka | Improving image quality of sparse-view micro-CT using Wasserstein GAN Naoki Ikezawa, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MICT2023-36 MI2023-29 |
Applications of micro-CT in pathology and histology have been studied in recent years, and we need to shorten the scanni... [more] | MICT2023-36 MI2023-29 pp.45-47 |
|
| SANE, SAT (Joint) |
2021-02-18 16:20 |
Online | Online | Position Specifiable Interpolation GAN for Interpolation of Ground Penetrating Radar Images Kaito Tokushige, Yasushi Kanazawa (Toyohashi Univ. of Tech.), Jun Sonoda (NIT, Sendai College) SANE2020-65 |
By using ground penetrating radar, we can do nondestructive check the inside condition of the ground or a structure as a... [more] | SANE2020-65 pp.40-45 |
| MI | 2020-01-30 11:00 |
Okinawa | OKINAWAKEN SEINENKAIKAN | High precision metal artifacts reduction in X-ray CT images by Deep Image Prior and sinogram normalization Hiroya Satake, Tatsuya Yokota (NIT), Yoshito Otake, Yoshinobu Sato (NAIST), Hidekata Hontani (NIT) MI2019-103 |
In this paper, we propose a method to improve the normalization accuracy of sinogram by using DeepImage Prior to remove ... [more] | MI2019-103 pp.169-174 |
| PRMU | 2019-12-19 11:00 |
Oita | Scene-Independent Optimum View Interpolation Filters for Stereo Images Akira Kubota, Seiji Nakatsubo (Chuo Univ.) PRMU2019-48 |
In this paper, we theoretically derive view-interpolation filters that reconstruct intermediate view images from stereo ... [more] | PRMU2019-48 pp.13-16 |
|
| SIS | 2019-03-07 12:15 |
Tokyo | Tokyo Univ. Science, Katsushika Campus | A Color Quantization Method Preserving Infrequent Salient Colors for Image Enlargement Yukiya Fukuda, Hideaki Misawa (NIT, UC), Hakaru Tamukoh (KIT), Ryosuke Kubota (NIT, UC), Byungki Cha, Takashi Aso (KIIT) SIS2018-51 |
In this report, we propose an image enlargement algorithm with a color quantization considering infrequent salient color... [more] | SIS2018-51 pp.75-80 |
| CW (2nd) |
2017-12-16 - 2017-12-17 |
Okinawa | Interpolation Predictive Coding Using Feedback Differential Quantization of Multiple View Images Yuto Takahashi, Akira Kubota (Chuo Univ.), Yoshinori Hatori (Tokyo Tech) |
In recent years, due to advances in video technology such as TV and cameras, free viewpoint technology that enables view... [more] | ||
| SIS | 2016-12-08 10:40 |
Hiroshima | Hiroshima City Univ. | An Encryption-then-Compression System Allowing the Use of Arbitrary Chroma Interpolation Methods for JPEG Compression Kenta Kurihara (Tokyo Metro. Univ), Hiroyuki Kobayashi (TMCIT), Hitoshi Kiya (Tokyo Metro. Univ) SIS2016-28 |
Conventional transmission systems of image contents are based on Compression-then-Encryption systems, where image encryp... [more] | SIS2016-28 pp.1-6 |
| CAS, NLP | 2016-10-27 15:50 |
Tokyo | On an Analysis of Perspective Painting Images by using a Bivariate Fractal Interpolation Surface Kazuya Ozawa, Hiroyuki Yamada, Hideo Nakano, Hideaki Okazaki (SIT) CAS2016-49 NLP2016-75 |
In this paper, a lemma and two theorems for a bivariate fractal interpolation surface (BFIS) generated by an iterated fu... [more] | CAS2016-49 NLP2016-75 pp.61-64 |
|
| MBE, NC (Joint) |
2015-12-19 13:50 |
Aichi | Nagoya Institute of Technology | The reconstruction of the missing pixels in the digital image using unmissing pixels and belief propagation Ryuichi Mashiba, Shun Kataoka, Kazuyuki Tanaka (Tohoku Univ.) NC2015-48 |
A digital image inpainting is an image processing method that reconstructs missing or degraded pixels in the image by us... [more] | NC2015-48 pp.13-18 |
| IA | 2015-11-12 12:00 |
Chiba | NARITA VIEW HOTEL | Approximate Finding Pathologic Lesion Volume from One Dimension CT Scan by Semi-automatically Select Area and Average Slop at 2 Points Conjunction Piyavach Khunsongkiet, Ekkarat Boonchieng (Chiang Mai University) IA2015-45 |
Computed tomography scanning (CT scanning) is widely used in Pathologic Lesion detecting, radiotherapy health care plann... [more] | IA2015-45 pp.41-46 |
| MI | 2015-03-03 09:36 |
Okinawa | Hotel Miyahira | Generation of CT images at arbitrary time phase using chest 4D-CT images Michiaki Nakagawa, Yasushi Hirano, Shoji Kido (Yamaguchi Univ.) MI2014-91 |
Recently，development of Computer-Aided Diagnosis（CAD）technology is remarkable. CAD technologies for respiratory system a... [more] | MI2014-91 pp.177-182 |
| SIP, EA, SP | 2015-03-03 09:00 |
Okinawa | [Poster Presentation]
Content-Aware Image Compression Using Iterative Edge-Directed Interpolation Eri Hosogai, Yuichi Tanaka (Tokyo Univ. of Agri. and Tech.) EA2014-93 SIP2014-134 SP2014-156 |
This paper proposes a content-aware image compression method for low bit-rate image coding using an iterative upsampling... [more] | EA2014-93 SIP2014-134 SP2014-156 pp.109-114 |
|
| SIP, EA, SP | 2015-03-03 09:00 |
Okinawa | [Poster Presentation]
Image Interpolation based on Weighting Function of Gaussian Takuro Yamaguchi, Yasuhiro Nakajima, Masaaki Ikehara (Keio Univ.) EA2014-105 SIP2014-146 SP2014-168 |
In this paper, we propose a new image interpolation method based on a 2-D piecewise stationary autoregressive (PAR) mode... [more] | EA2014-105 SIP2014-146 SP2014-168 pp.181-185 |
|
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2015-02-24 11:15 |
Hokkaido | Hokkaido Univ. | A Projection Transformation Method in Consideration of Conservation of Energy Hitoshi Yamauchi, Koichi Ozaki, Yoichiro Sato, Tadao Fukuta, Kiyotaka Obunai (Okayama Pref. Univ.) ITS2014-50 IE2014-77 |
We proposed a novel image interpolation method, previously. In this method, pixel values are assumed as energy which is ... [more] | ITS2014-50 IE2014-77 pp.137-142 |
| SIS | 2014-03-06 14:55 |
Osaka | Gran Front Osaka, Knowledge Capital C-9F, 901 | Resolution Enhancement of Satellite Image with Preservation of Spectral Information Hidenobu Hashikami (RICOH) SIS2013-64 |
This report proposes an image fusion method of advanced land observing satellite. By spectral normalization, the method ... [more] | SIS2013-64 pp.47-50 |
| CQ, MVE, IE, IMQ, CEA (Joint) [detail] |
2014-03-07 09:35 |
Oita | Beppu International Convention Center | A fast vehicle detection method from omni-directional video Koutaro Katayama, Keiji Shibata, Yuukou Horita (Univ. Toyama) IMQ2013-50 IE2013-159 MVE2013-88 |
We propose a fast method for vehicle detection from omni-directional video without panoramic expansion. Vehicle detectio... [more] | IMQ2013-50 IE2013-159 MVE2013-88 pp.125-128 |
| CQ, MVE, IE, IMQ, CEA (Joint) [detail] |
2014-03-07 10:00 |
Oita | Beppu International Convention Center | Image Super-Resolution based on Shock Filter Taichi Yoshida, Masaaki Ikehara (Keio Univ.) IMQ2013-58 IE2013-167 MVE2013-96 |
In this paper,we propose an image super-resolution method based on the shock filter for high frequency components.Compar... [more] | IMQ2013-58 IE2013-167 MVE2013-96 pp.165-168 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2014-02-17 09:50 |
Hokkaido | Hokkaido Univ. | Super resolution by single image based on total variation regularization
-- Improvement of image quality by edge sharpening -- Hiroki Tsurusaki, Masashi Kameda, Prima Oky Dicky Ardiansyah (Iwate Pref. Univ.) ITS2013-32 IE2013-97 |
In order to improve the image quality of enlarged image, the super resolution using total variation regularization has b... [more] | ITS2013-32 IE2013-97 pp.13-18 |
| MI | 2014-01-26 13:30 |
Okinawa | Bunka Tenbusu Kan | Multi-organ localizations on a large number of CT images by using machine learning and its performance evaluations Shoichi Morita, Xiangrong Zhou, Huayue Chen, Takeshi Hara (Gifu Univ.), Huiyan Jiang (NEU), Ryujiro Yokoyama (Gifu Univ.), Masayuki Kanematsu (Gifu Univ. Hospital), Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2013-62 |
In this study, we propose an approach to accomplish general localization of the different inner organ regions on 3D CT s... [more] | MI2013-62 pp.37-41 |
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