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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU | 2014-03-14 09:00 |
Tokyo | Hierarchical Single Image Super-Resolution Based on Dictionary Learning Toshihiro Kitao, Osamu Hasegawa (Tokyo Inst. of Tech.)  PRMU2013-192 |
Single image super-resolution, a technology to reconstruct a high-resolution image from a single low-resolution image, i... [more] | PRMU2013-192 pp.145-150 |
|
| 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 |
| RCS, SIP | 2014-01-23 13:25 |
Fukuoka | Kyushu Univ. | Shock Filter Based on Non-Local Means for Image Super-Resolution Taichi Yoshida, Masaaki Ikehara (Keio Univ.) SIP2013-101 RCS2013-271 |
In this paper,we propose a shock filter based on the non-local means algorithm for image super-resolution.The super-reso... [more] | SIP2013-101 RCS2013-271 pp.95-99 |
| MVE, HI-SIG-VR | 2013-09-26 10:15 |
Hokkaido | Rishiri Island, "Donto" | Automatic Synthesis of Wide FOV Images from First Person View Videos
-- Selecting Suitable Images for Stitching Based on Probability Density of Pixel Intensity -- Kenta Matsui, Kazuaki Kondo, Takahiro Koizumi, Yuichi Nakamura (Kyoto Univ.) MVE2013-21 |
First person view (FPV) videos often have unsuitable images for stitching, such as including motion blurs, disparities, ... [more] | MVE2013-21 pp.17-22 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-03 15:15 |
Tottori | A Study on Exemplar Based Super Resolution for Low Resolution Images of Human body Kento Nishibori (Nagoya Univ.), Tomokazu Takahashi (Gifu Shotoku Gakuen Univ.), Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.) PRMU2013-54 IBISML2013-34 |
The purpose of this study is to to generate a human body image in low-resolution to a high-resolution image for enabling... [more] | PRMU2013-54 IBISML2013-34 pp.213-218 |
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| PRMU | 2013-06-11 16:00 |
Tokyo | Criterion for image stitching based on the intensity distribution and entropy Kenta Matsui, Kazuaki Kondo, Takahiro Koizumi, Yuichi Nakamura (Kyoto Univ.) PRMU2013-32 |
In this paper, we propose a criteria of image stitching to acquire larger panoramic images from first person view videos... [more] | PRMU2013-32 pp.77-82 |
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| SIP, CAS, CS | 2013-03-14 13:25 |
Yamagata | Keio Univ. Tsuruoka Campus (Yamagata) | Image Restoration with Directional Non-separable Oversampled Lapped Transform Natsuki Aizawa, Shogo Muramatsu (Niigata Univ.) CAS2012-103 SIP2012-134 CS2012-109 |
This report proposes an image restoration technique with directional non-separable oversampled lapped transform (NSOLT) ... [more] | CAS2012-103 SIP2012-134 CS2012-109 pp.39-44 |
| IBISML | 2013-03-05 15:00 |
Aichi | Nagoya Institute of Technology | Evaluation of the limit performance of single frame super-resolution Masanori Kawakita, Kouratarou Yamaguchi, Norikazu Takahashi, Jun'ichi Takeuchi (Kyushu Univ.) IBISML2012-106 |
We elucidate the potential limit of single-frame super-resolution by information theory. A single-frame super-resoluti... [more] |
IBISML2012-106 pp.95-100 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2013-02-19 11:00 |
Hokkaido | Hokkaido Univ. | Super-Resolution Specializing in Recognition of Road Assistance Signs Kazuhiro Hirano, Gou Koutaki, Keiichi Uchimura, Daiki Hidaka (Kumamoto Univ.) ITS2012-48 IE2012-128 |
Among information which car navigation systems process, road signs are important for drivers to drive safely. The method... [more] | ITS2012-48 IE2012-128 pp.281-285 |
| NC, NLP | 2013-01-24 11:10 |
Hokkaido | Hokkaido University Centennial Memory Hall | depth estimation from microscopic images using Bayesian inference Yasuhiro Imoto, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) NLP2012-109 NC2012-99 |
In cellular biology, it is important to know 3D cellular shape to understand the cellular function. However, existing mi... [more] | NLP2012-109 NC2012-99 pp.31-36 |
| ITS, WBS (Joint) |
2012-11-27 13:25 |
Kumamoto | Kumamoto Univ. | Recognition of Road Assistance Sign with Learning Based Super-Resolution Kazuhiro Hirano, Gou Koutaki, Keiichi Uchimura, Daiki Hidaka (Kumamoto Univ.) ITS2012-26 |
Road signs are essential for drivers to drive safely. Some methods about the recognition of road signs with multi frames... [more] | ITS2012-26 pp.45-50 |
| ITE-ME, ITE-AIT, IE [detail] | 2012-11-15 14:55 |
Kagoshima | Kagoshima Univ. | Fractal Super-Resolution Processing Using Lightness Variance of the Local Domain Yuki Matsuda, Yue Bao (Tokyo City Univ.) IE2012-83 |
In recent years, due to higher resolution display, high definition image research has been actively carried out, the met... [more] | IE2012-83 pp.7-12 |
| ITE-ME, ITE-AIT, IE [detail] | 2012-11-15 15:20 |
Kagoshima | Kagoshima Univ. | Performance Improvement of Learning-based Super-resolution utilizing Total Variation Regularization Decomposition Yuta Kawamoto, Shunji Miura, Yasutaka Sakuta, Tomio Goto, Masaru Sakurai (Nagoya Inst. of Tech.) IE2012-84 |
In this paper, we propose a new learning-based super-resolution method, which utilizes the Principal Components Analysis... [more] | IE2012-84 pp.13-16 |
| IBISML | 2012-11-07 15:30 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Bayesian image super-resolution of large image with a compound MRF and estimating registration parameters Toshiki Kinoshita, Seiji Miyoshi (Kansai Univ.) IBISML2012-35 |
Super-resolution is a technique to estimate a higher resolution image from low-resolution images. In this manuscript, we... [more] | IBISML2012-35 pp.9-16 |
| PRMU | 2012-10-05 09:30 |
Chiba | Super resolution scene reconstruction using corneal reflections Christian Nitschke, Atsushi Nakazawa (Osaka Univ.) PRMU2012-63 |
The corneal imaging technique enables extraction of scene information from corneal reflections and realizes a large nu... [more] |
PRMU2012-63 pp.65-70 |
|
| IMQ | 2012-05-18 13:25 |
Tokyo | Tokai Univ. Takanawa Campus | Inpainting-based super-resolution algorithm considering edge strength Daichi Aoshima, Yasuhiro Inazumi, Yuukou Horita (Univ of Toyama) IMQ2012-2 |
In general，the increase in the number of pixels of a digital camera or a TV is being requested. There is a super-resolu... [more] |
IMQ2012-2 pp.5-8 |
| PRMU, MI, IE | 2012-05-17 10:30 |
Aichi | Image Super-Resolution using Manifold Learning with Vector Quantization Kazuki Taniguchi, Xian-Hua Han, Yutaro Iwamoto, So Sasatani, Yen-Wei Chen (Ritsumeikan Univ.) IE2012-19 PRMU2012-4 MI2012-4 |
Image Super-Resolution (SR) is to recover the lost high-frequency information from several or only one available image. ... [more] | IE2012-19 PRMU2012-4 MI2012-4 pp.19-24 |
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| IE | 2012-04-27 11:15 |
Tokyo | Seikei University | Aliasing Embedment for Multi-Frame Super-Resolution in Reconstructive Video Coding
-- Design of Frequency Response and Cut-Off Frequency -- Toshie Misu, Yasutaka Matsuo, Shunsuke Iwamura, Shinichi Sakaida (NHK) IE2012-6 |
To improve the super-resolution part of our proposed video coding paradigm named "reconstructive video coding," we devis... [more] | IE2012-6 pp.29-34 |
| CAS, CS, SIP | 2012-03-08 13:20 |
Niigata | The University of Niigata | Image Restoration with Union of Multiple DirLOTs Natsuki Aizawa, Shogo Muramatsu (Niigata Univ.) CAS2011-113 SIP2011-133 CS2011-105 |
In this report, an image restoration method by using Directional Lapped Orthonormal Transform (DirLOT), which the author... [more] | CAS2011-113 SIP2011-133 CS2011-105 pp.37-42 |
| CAS, CS, SIP | 2012-03-08 14:10 |
Niigata | The University of Niigata | Three variants of alternating direction method of multipliers without certain inner iterations and their application to image super-resolution via sparse representation Masao Yamagishi, Shunsuke Ono, Isao Yamada (Tokyo Inst. of Tech.) CAS2011-115 SIP2011-135 CS2011-107 |
We propose three variants of Alternating Direction Method of Multipliers (ADMM) employing simplified updates under addit... [more] | CAS2011-115 SIP2011-135 CS2011-107 pp.49-54 |
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