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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IT, ISEC, WBS | 2012-03-01 10:55 |
Kanagawa | Super-resolution using information-theoretic priori information of image histogram Shimpei Tanemori, Hiroyuki Kudo (Tsukuba Univ.)  IT2011-57 ISEC2011-84 WBS2011-58 |
Image super-resolution techniques aim to reconstruct a high-resolution image from low-resolution ones. Conventional met... [more] | IT2011-57 ISEC2011-84 WBS2011-58 pp.73-78 |
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| ITE-ME, ITE-AIT, IE [detail] | 2011-11-11 09:25 |
Fukuoka | Based on Control of Level of Detail for Super-Resolution Yusuke Tsutsumi, Gou Fujisawa, Hiromasa Mizuno, Yoshihiro Okada (Ryukoku Univ.) IE2011-78 |
Various methods for digital image enlargement have been proposed and it is possible to get a good result by selecting a ... [more] | IE2011-78 pp.7-12 |
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| ITE-ME, ITE-AIT, IE [detail] | 2011-11-11 11:40 |
Fukuoka | Smart Dictionary for Learning-Based Super-Resolution Akinobu Hashimoto, Tomohiro Nakaya, Nobutaka Kuroki, Tetsuya Hirose, Masahiro Numa (Kobe Univ.) IE2011-83 |
In this paper, a novel dictionary construction technique for example based super-resolution is proposed. Conventional te... [more] | IE2011-83 pp.35-40 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2011-09-06 14:50 |
Hokkaido | A Study of Robust Multi-Frame Super Resolution for Non-Rigid Deformation of Face Tomonari Yoshida (Nagoya Univ.), Tomokazu Takahashi (Gifu Shotoku Gakuen Univ.), Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.) PRMU2011-80 IBISML2011-39 |
In a face recognition system with surveillance video cameras, the decrease in resolution of face images degrades the re... [more] |
PRMU2011-80 IBISML2011-39 pp.181-186 |
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| PRMU, MI, IE | 2011-05-19 17:00 |
Aichi | Super-Resolution of Medical Images Based on Hallucination Methods Yutaro Iwamoto, Xian-Hua Han, Motonori Ohashi, So Sasatani, Kazuki Taniguchi, Yen-Wei Chen (Ritsumeikan Univ.) IE2011-19 PRMU2011-11 MI2011-11 |
In Medical imaging, the data resolution is usually insufficient for accurate diagnosis in clinical medicine. Especially ... [more] | IE2011-19 PRMU2011-11 MI2011-11 pp.57-62 |
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| IMQ (2nd) |
2011-03-18 15:50 |
Shizuoka | Directional Adaptive Image Enlarger Using Operators for 8 Direction Hiroto Masuda, Naoya Sagara, Kenji Sugiyama (Seikei Univ.) |
In re-size (scaling) of a picture, a resolution improvement technology called “super resolution” has been studied in pro... [more] | ||
| CS, SIP, CAS | 2011-03-04 10:30 |
Okinawa | Ohhamanobumoto memorial hall (Ishigaki)( | Region-based Super Resolution Method for Distributed Video Coding Kazumasa Ohgushi (Keio Univ.), Takayuki Nakachi (NTT Corp.), Nozomu Hamada (Keio Univ.) CAS2010-159 SIP2010-175 CS2010-129 |
Distributed Video Coding (DVC) has been attracting attention as a method of realizing lightweight video encoder. But it... [more] |
CAS2010-159 SIP2010-175 CS2010-129 pp.335-340 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2011-02-22 09:30 |
Hokkaido | Hokkaido University | A Note on Super Resolution Method of Blurred Video Sequences
-- Accurate Estimation of Posterior Probability Including PSF -- Daisuke Izumi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) ITS2010-51 IE2010-126 |
This paper presents a resolution enhancement method of motion blur video sequences. From a blurred low resolution video ... [more] | ITS2010-51 IE2010-126 pp.159-164 |
| PRMU, MVE, IPSJ-CVIM [detail] | 2011-01-21 15:45 |
Shiga | High Frequency Compensated Face Hallucination Method So Sasatani, Xian-Hua Han, Motonori Ohashi, Yutaro Iwamoto, Yen-Wei Chen (Ritsumeikan Univ.) PRMU2010-189 MVE2010-114 |
Face Hallucination method is one of learning-based super-resolution techniques, which can reconstruct a high-resolution ... [more] | PRMU2010-189 MVE2010-114 pp.323-328 |
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| PRMU, IPSJ-CVIM | 2010-11-18 17:20 |
Fukui | Super resolution technique for Video data containing motion blur Takuma Yamaguchi (Nippon Signal), Hisato Fukuda (Saitama Univ.), Ryo Furukawa (Hiroshima City Univ.), Hiroshi Kawasaki (Kagoshima Univ.), Yoshinori Kuno (Saitama Univ.), Peter Sturm (INRIA) PRMU2010-117 |
Since resolution of video camera is usually lower than digital camera and video data usually contains a motion blur in t... [more] | PRMU2010-117 pp.53-58 |
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| IPSJ-SLDM, SIP, IE, ICD [detail] | 2010-10-05 14:30 |
Chiba | Makuhari Messe, International Conference Hall | [Invited Talk]
Robust andFast Super-Resolution Masayuki Tanaka, Masatoshi Okutomi (TokyoTech) SIP2010-58 ICD2010-72 IE2010-76 |
(To be available after the conference date) [more] | SIP2010-58 ICD2010-72 IE2010-76 p.55 |
| IPSJ-SLDM, SIP, IE, ICD [detail] | 2010-10-05 15:15 |
Chiba | Makuhari Messe, International Conference Hall | [Invited Talk]
Reconstruction-based Intra-Frame Super-resolution Takashi Ida, Nobuyuki Matsumoto (Toshiba) SIP2010-59 ICD2010-73 IE2010-77 |
A reconstruction-based super-resolution method using a single frame is expounded. In the conventional methods, multiple ... [more] | SIP2010-59 ICD2010-73 IE2010-77 pp.57-62 |
| NC | 2010-07-27 10:30 |
Kyoto | Kyoto University | Different Functions Between the Human Middle Temporal and Medial Superior Temporal Areas during Pursuit Eye Movement Tetsuya Yamamoto, Hiroki Yamamoto (Kyoto Univ.), Hiroaki Mano (Kyoto Univ./Meiji Univ. of Integrative Med.), Masahiro Umeda, Chuzo Tanaka (Meiji Univ. of Integrative Med.), Kenji Kawano (Kyoto Univ.) NC2010-31 |
It has been demonstrated that two motion-sensitive areas of monkeys, the middle temporal (MT) and medial superior tempor... [more] | NC2010-31 pp.13-18 |
| NC, NLP, IPSJ-BIO [detail] | 2010-06-18 15:35 |
Okinawa | Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan | Bayesian Image Super-Resoluion of Linear Degradation Model with a Compound Markov Random Field Prior Takayuki Katsuki, Akira Torii, Masato Inoue (Waseda Univ.) NLP2010-10 NC2010-10 |
Super-resolution is a technique to estimate higher resolution image from multiple low-resolution observed images. We tre... [more] | NLP2010-10 NC2010-10 pp.63-68 |
| PRMU, IE, MI | 2010-05-14 16:30 |
Aichi | Chubu Univ. | Image Registration Using both Principal Component Analysis and Gradient Method for Super-resolution So Sasatani, Xian-Hua Han, Yen-Wei Chen (Ritsumeikan Univ.) IE2010-48 PRMU2010-36 MI2010-36 |
Super-Resolution is the technique enhances resolution of image, and one of its techniques is multi-frame method is an ap... [more] | IE2010-48 PRMU2010-36 MI2010-36 pp.193-198 |
| PRMU, HIP | 2010-03-16 16:35 |
Kagoshima | Kagoshima Univ. | A Proposal of Low-resolution Character Recognition Method by Super-resolution based on Frame Selection Ataru Okura, Daisuke Deguchi (Nagoya Univ.), Tomokazu Takahashi (Gifu shotoku Gakuen Univ.), Ichiro Ide, Hiroshi Murase (Nagoya Univ.) PRMU2009-324 HIP2009-209 |
Portable cameras such as compact digital cameras and cell-phone cameras are widely used. This trend increases the deman... [more] |
PRMU2009-324 HIP2009-209 pp.537-542 |
| SIS | 2010-03-05 14:30 |
Kanagawa | Kanagawa Institute of Technology | Image Enlargement with Lost High-frequency Components Estimation using clustered Eigenspace Hideaki Orii, Hideaki Kawano (Kyushu Inst. of Tech.), Noriaki Suetake (Yamaguchi Univ.), Hiroshi Maeda (Kyushu Inst. of Tech.) SIS2009-74 |
In general, image sharpening and image super-resolution are achieved by some kind of restoration method for high-frequen... [more] | SIS2009-74 pp.141-144 |
| SANE | 2010-01-28 17:20 |
Nagasaki | Nagasaki Prefectural Art Museum | Super-resolution radar pulse compression algorithm based on ICA Yuta Hanashiro, Shouhei Kidera, Tetsuo Kirimoto (Univ. of Electro-Comm) SANE2009-147 |
The ICA(Independent Component Analysis) using the statistical independence of the multiple source signals offers a promi... [more] | SANE2009-147 pp.49-54 |
| PRMU | 2009-10-23 09:30 |
Hiroshima | Hiroshima Univ. | Super-resolution Optical Flow using Variational Method Yoshihiko Mochizuki, Yusuke Kameda, Atsushi Imiya, Tomoya Sakai, Takashi Imaizumi (Chiba Univ) PRMU2009-83 |
We develop an algorithm for the super-resolution optical flow computation, by combining variational super-resolution ... [more] |
PRMU2009-83 pp.69-74 |
| PRMU, IE, MI | 2009-05-28 10:00 |
Gifu | Gifu Univ. | An Improved Method of Super Resolution Image Reconstruction using Logical Filter Masanori Kojima (Osaka Inst. of Tech.), Kunihiro Yamada (Tokai Univ.) IE2009-10 PRMU2009-1 MI2009-1 |
A Super resolution image reconstruction method using logical filter is discussed. Logical filter needs small operation ... [more] | IE2009-10 PRMU2009-1 MI2009-1 pp.1-4 |
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