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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS | 2018-12-07 11:05 |
Yamaguchi | Hagi Civic Center | Chromatic Aberration Correction of Color Images Using Deep Neural Network for Each Channel Processing Naoto Nagashima, Mitsuhiko Meguro (Nihon Univ.)  SIS2018-33 |
In this paper, we propose a new correcting method of chromatic aberration occurring in color images using Deep Learning.... [more] | SIS2018-33 pp.61-66 |
| IEE-CMN, EMM, LOIS, IE, ITE-ME [detail] | 2018-09-27 13:50 |
Oita | Beppu Int'l Convention Ctr. aka B-CON Plaza | Image Patch Modeling in Encrypted Domain using Sparse Coding Takayuki Nakachi (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) LOIS2018-12 IE2018-32 EMM2018-51 |
Sparse coding represents observed signals effectively as a linear combination of a small number of bases which are chose... [more] | LOIS2018-12 IE2018-32 EMM2018-51 pp.13-18 |
| 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 |
| PRMU, MI, IE, SIP | 2018-05-17 17:00 |
Gifu | [Invited Talk]
Statistical Modeling of 3-D DFT Coefficients of Moving Images and Its Applications to Video Restoration Takahiro Saito, Takashi Komatsu (Kanagawa Univ.) SIP2018-6 IE2018-6 PRMU2018-6 MI2018-6 |
Recently we have presented moving-image denoising with 3-D Mean-Separation-type Short-Time DFT and demonstrated that it ... [more] | SIP2018-6 IE2018-6 PRMU2018-6 MI2018-6 pp.23-28 |
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| SP, SIP, EA | 2017-03-01 14:50 |
Okinawa | Okinawa Industry Support Center | Image restoration based on weighted average of multiple blurred and noisy images Ryo Tanikawa, Takanori Fujisawa, Masaaki Ikehara (Keio Univ.) EA2016-111 SIP2016-166 SP2016-106 |
Many methods for restoring images degraded by noise or blur use one noise image or blurred image. BM3D as a typical nois... [more] | EA2016-111 SIP2016-166 SP2016-106 pp.165-170 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-21 11:00 |
Hokkaido | Hokkaido Univ. | Low-light image enhancement using an RGB-NIR single sensor with exposure bracketing Hiroki Yamashita, Daisuke Sugimura, Takayuki Hamamoto (Tokyo Univ. of Science) ITS2016-49 IE2016-107 |
Color images taken in low light scenes are deteriorated with noise and motion blur. In this paper, we propose a novel im... [more] | ITS2016-49 IE2016-107 pp.231-234 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-21 14:45 |
Hokkaido | Hokkaido Univ. | Mixed noise removal of hyperspectral images by hybrid spatio-spectral total variation reguralization Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa (Tokyo Tech.) ITS2016-58 IE2016-116 |
Since hyperspectral image (HSI) contains rich spectral information, it has been recognized as a key technology in many f... [more] | ITS2016-58 IE2016-116 pp.281-285 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-21 16:00 |
Hokkaido | Hokkaido Univ. | A Study on Local Adaptation of Extended Joint Bilateral Filtering for Color Compression Artifacts Reduction Naofumi Wada, Hiroki Matsuzaki, Hirofumi Sanada (HUS) ITS2016-62 IE2016-120 |
The purpose of our research is color bleeding reduction for images and videos compressed by 4:2:0 color format. We propo... [more] | ITS2016-62 IE2016-120 pp.305-310 |
| IT, SIP, RCS | 2017-01-19 16:10 |
Osaka | Osaka City Univ. | Source Estimation of en-face OCT by Sparse Signal Modeling Takumi Kawamura, Shunpei Ito, Shogo Muramatsu, Samuel Choi (Niigata Univ.) IT2016-79 SIP2016-117 RCS2016-269 |
This work proposes a perform source estimation method of en-face optical coherence tomography (OCT) through sparse sign... [more] |
IT2016-79 SIP2016-117 RCS2016-269 pp.195-200 |
| SIP | 2016-08-26 10:35 |
Chiba | Chiba Institute of Technology, Tsudanuma Campus | Super resolution of vein images using convolutional neural networks Koji Kashihara (Tokushima Univ.) SIP2016-80 |
If super-resolution techniques improve the quality of near-infrared images with a low signal-to-noise ratio, they could ... [more] | SIP2016-80 pp.39-44 |
| IE | 2016-07-01 13:10 |
Okinawa | A constrained optimization approach to image restoration using blurred/noisy image pair Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa (Tokyo Tech.) IE2016-40 |
Existing image restoration methods with a blurred/noisy image pair do not fully exploit the information on both images i... [more] | IE2016-40 pp.25-29 |
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| IE | 2016-07-01 14:10 |
Okinawa | Noise removal based on surface approximation of Color Line Koichiro Manabe, Takuro Yamaguchi, Ikehara Masaaki (Keio Univ.) IE2016-42 |
It is known that in a local region of a color image, color distribution is almost linear in RGB space. We call this prop... [more] | IE2016-42 pp.37-42 |
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| SIS | 2015-12-03 13:35 |
Fukui | Matsuya-sensen (Awara city, Fukui) | Robust Non Local Means with Similarty Measure for Mixed Noise Removal Haruki Niikura, Mitsuhiko Meguro (Nihon Univ.) SIS2015-30 |
In this paper, we propose two Non Local Means (NL-means) algorithms with robustness for Gaussian and mixed noise removal... [more] | SIS2015-30 pp.7-12 |
| SIS | 2015-06-08 15:55 |
Nagasaki | Arkas SASEBO | Weight Optimization for Image Integration and Restoration Ryo Matsuoka (Univ of Kitakyushu), Tomohiro Yamauchi (QBS), Tatsuya Baba, Masahiro Okuda (Univ of Kitakyushu) SIS2015-7 |
To restore an image degraded by sensor noise or quantization error, multiple image integration is an effective and power... [more] | SIS2015-7 pp.35-38 |
| SIP, EA, SP | 2015-03-03 09:00 |
Okinawa | [Poster Presentation]
A Study on Multiple Exposure Image Fusion with Focus Blur Correction Ryo Matsuoka, Haruki Ishibashi, Tatsuya Baba, Masahiro Okuda (Univ of Kitakyushu) EA2014-91 SIP2014-132 SP2014-154 |
When taking a photograph of a high dynamic range scene by using narrow dynamic range commercial cameras, we often face t... [more] | EA2014-91 SIP2014-132 SP2014-154 pp.97-102 |
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| IE, ITE-AIT, ITE-ME [detail] | 2014-11-07 10:00 |
Kagoshima | A study on improvement of microcalcification attenuation in medical image denoising using NL-means Tsuyoshi Yamashita (Kanazawa Univ.), Mamoru Ogaki (EIZO Co.), Marina Katou, Kousuke Imamura, Yoshio Matsuda, Shigeru Sanada (Kanazawa Univ.) IE2014-57 |
Image processing technology in medical field is attracting attention as a solution to realize improvement of diagnosis a... [more] | IE2014-57 pp.45-50 |
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| PRMU, MI, IE, SIP | 2014-05-23 15:20 |
Aichi | Depth Map Denoising Using Collaborative Graph Wavelet Shrinkage on Connected Image Patches Yuki Iizuka, Yuichi Tanaka (Tokyo Univ. of Agriculture and Tech.) SIP2014-20 IE2014-20 PRMU2014-20 MI2014-20 |
In this paper, we propose a new patch-based image denoising algorithm using graph signal processing. The concept of thi... [more] |
SIP2014-20 IE2014-20 PRMU2014-20 MI2014-20 pp.107-112 |
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| CS, CAS, SIP | 2014-03-07 10:55 |
Osaka | Osaka City University Media Center | Image denosing by using soft-close/open invariance priors Naoya Fujiwara (Osaka Univ.), Makoto Nakashizuka (Chiba Inst. of Tech.), Youji Iiguni (Osaka Univ.) CAS2013-114 SIP2013-160 CS2013-127 |
In this report, we propose a regularization based denoising method using soft-morphological filters as the image prior..... [more] | CAS2013-114 SIP2013-160 CS2013-127 pp.139-144 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2014-02-17 15:15 |
Hokkaido | Hokkaido Univ. | Improvement of the run precision in the autonomous run control of the AGV using the tablet PC Anar Zorig, Atsushi Haginiwa, Hiroyuki Sato (Iwate Prefectural Univ) ITS2013-46 IE2013-111 |
In our research, we have studied the autonomous run control system of the automatic guided vehicle (AGV) used in the man... [more] | ITS2013-46 IE2013-111 pp.93-98 |
| DC | 2013-12-13 16:00 |
Ishikawa | Development of Crack Detection System Using Image Composition Shinichi Tomiyama, Norihiro Ohira (TIRI) DC2013-75 |
Crack detection technique in productions and constructions is the important technique which prevents failure and collaps... [more] | DC2013-75 pp.41-44 |
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