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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-20 12:45 |
Hokkaido | Hokkaido Univ. | 3D CG Coded Image Noise Removal and Quality Assessment Based on Optimal Design of Total Variation Regularization Norifumi Kawabata (Kanazawa Gakuin Univ.)  ITS2023-67 IE2023-56 |
Sparse coding techniques, which reproduce and represent images with as few combinations as possible from a small amount ... [more] | ITS2023-67 IE2023-56 pp.112-117 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-16 13:10 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
[Special Talk]
Group Sparse/Low-rank Modeling for Multidimensional Signal Recovery Seisuke Kyochi (Kogakuin Univ.) IMQ2022-52 CQ2022-93 IE2022-129 MVE2022-82 |
Group sparse/low-rank modeling based on the ℓ1 norm and nuclear norm has been successfully applied to signal processing... [more] |
IMQ2022-52 CQ2022-93 IE2022-129 MVE2022-82 pp.156-161(IMQ), pp.64-69(CQ), pp.156-161(IE), pp.156-161(MVE) |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 17:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Additive Cumulative Link Model with Total Variation Regularization Hiroya Iyori, Shin Matsushima (Univ. of Tokyo) NC2022-8 IBISML2022-8 |
In many fields such as medical research and social science, data on an ordinal scale are often obtained. Problems in wh... [more] |
NC2022-8 IBISML2022-8 pp.69-75 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-01 09:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Hyperspectral Image Denoising by Graph Spatio-Spectral Total Variation Minimization Shingo Takemoto, Kazuki Naganuma, Shunsuke Ono (Tokyo Tech) EA2021-70 SIP2021-97 SP2021-55 |
We propose a novel denoising method for hyperspectral images (HSI) based on the Graph Spatio-Spectral Total Variation (G... [more] | EA2021-70 SIP2021-97 SP2021-55 pp.38-43 |
| MI | 2022-01-27 14:30 |
Online | Online | Reducing the number of projections in 3-D Compton Camera using EM-TV based image reconstruction Tomohiro Ono (Hirosaki Univ.), Yuto Nagao, Mitsutaka Yamaguchi, Naoki Kawachi (QST), Tsutomu Zeniya (Hirosaki Univ.) MI2021-80 |
It is desired to develop a Compton camera, which has been used for gamma ray detection in space and the environment, as ... [more] | MI2021-80 pp.150-155 |
| SIS, ITE-BCT | 2020-10-01 13:40 |
Online | Online | Image Regularization with Morphological Gradient Priors Using Optimization of Multiple Structuring Elements for Each Pixel Hirotaka Oka, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (CIT) SIS2020-15 |
In image regularization, a method for restoring an image has been proposed in which a morphological gradient is used as ... [more] | SIS2020-15 pp.29-34 |
| ITE-BCT, SIS | 2019-10-24 15:30 |
Fukui | Fukui International Activities Plaza | Image Regularization with Total Variation and Morphological Gradient Priors Using Optimization of Structuring Element for Each Pixel Shoya Oohara, Hirotaka Oka, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (CIT) SIS2019-17 |
As an image prior for image restoration, a method using the sum of morphological gradients has been proposed. Optimizati... [more] | SIS2019-17 pp.47-52 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 14:20 |
Kagoshima | Kagoshima University | Implementation and Evaluation of Total Variation Regularization Decomposition for Super Resolution using an Inexpensive Single Board Computer Hiromasa Takeda, Taiki Kondo, Hiroto Kizuna, Hiroyuki Sato, Eiji Sugino (Iwate Pref. Univ.) IMQ2018-39 IE2018-123 MVE2018-70 |
With the advent of large and high resolution displays in recent years, large screen electronic signage such as digital s... [more] | IMQ2018-39 IE2018-123 MVE2018-70 pp.97-102 |
| CAS, SIP, MSS, VLD | 2018-06-14 14:10 |
Hokkaido | Hokkaido Univ. (Frontier Research in Applied Sciences Build.) | A Study on Reflection Removal Using Depth Map Toshihiro Shibata, Yuji Akai, Ryo Matsuoka (Kagawa Univ.) CAS2018-8 VLD2018-11 SIP2018-28 MSS2018-8 |
In this paper, we propose a novel reflection removal method for RGB-D images that achieves reflection removal and depth ... [more] | CAS2018-8 VLD2018-11 SIP2018-28 MSS2018-8 pp.39-43 |
| MI | 2017-01-18 10:41 |
Okinawa | Tenbusu Naha | [Short Paper]
Super Resolution of MR images via Optimization in Fourier Domain with Low Rank and Smoothness of Image Space Naoki Kawamura, Tatsuya Yokota, Hidekata Hontani (NITech) MI2016-74 |
We use MR images of the same object measured with different magnetic gradient directions in order to construct a MR imag... [more] | MI2016-74 pp.19-20 |
| MI | 2015-03-03 10:46 |
Okinawa | Hotel Miyahira | Row-Action-Type Method for Total-Variation Regularization and its Application to CT Image Reconstruction Fukashi Yamazaki, Takuya Nemoto, Keita Takaki, Hiroyuki Kudo (Tsukuba Univ.) MI2014-95 |
This paper proposes an exact row-action-type total variation(TV) minimization algorithm which is faster than conventiona... [more] | MI2014-95 pp.199-204 |
| MI | 2015-03-03 10:58 |
Okinawa | Hotel Miyahira | Total variation regularization of diffusion weighted images for reducing noise of diffusional kurtosis MRI Yuuki Nakamura, Hirokuni Okada, Masahito Aoyama, Yoshitaka Masutani (Hiroshima City Univ.) MI2014-96 |
Diffusional kurtosis imaging (DKI) is an MR imaging method for quantifying non-Gaussianity of water molecule based on a ... [more] | MI2014-96 pp.205-208 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2015-02-24 10:15 |
Hokkaido | Hokkaido Univ. | The quantization noise reduction by blind deconvolution incorporating adaptive filter based on the structure image Takuya Miwa, Hironori Yamauchi, Tomonori Izumi, Kazunori Saito, Yohei Fukumizu (Ritsumeikan Univ.) ITS2014-48 IE2014-75 |
In this paper, we propose a reduction method of quantization noise, which is based on blind deconvolution using total va... [more] | ITS2014-48 IE2014-75 pp.125-130 |
| 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 |
| SIP | 2013-08-30 13:40 |
Tokyo | Tokyo University of Agriculture and Technology | l2,1 Mixed Norm Projection and Its Application to Image Denoising Problem Takamichi Miyata (Chiba Inst. of Tech.) SIP2013-82 |
The metric projection onto $ell_1$ norm ball is used as a key tool for sparsity based signal reconstruction problems. ... [more] |
SIP2013-82 pp.85-90 |
| IMQ | 2013-07-26 16:15 |
Iwate | Iwate University | Improvement of image quality for super resolution by single image based on total variation regularization Hiroki Tsurusaki, Masashi Kameda (Iwate Pref. Univ.) IMQ2013-11 |
In order to improve the image quality of enlarged image, the super resolution by single image based on total variation(T... [more] | IMQ2013-11 pp.31-36 |
| PRMU | 2013-02-21 09:30 |
Osaka | Reconstruction-based super resolution by anisotropic diffusion constraint and total variation regularization Takashi Shibata, Akihiko Iketani, Shuji Senda (NEC) PRMU2012-134 |
This paper presents novel reconstruction-based super resolution method by anisotropic diffusion constraint and texture-a... [more] | PRMU2012-134 pp.25-30 |
|
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2013-02-18 14:20 |
Hokkaido | Hokkaido Univ. | Super resolution without reference image based on combination of high frequency components using total variation regularization Hiroki Tsurusaki, Masashi Kameda (Iwate Pref. Univ.) ITS2012-40 IE2012-120 |
In order to improve the image quality of enlarged image, the super resolution using total variation(TV) regularization h... [more] | ITS2012-40 IE2012-120 pp.233-238 |
| MI | 2013-01-25 15:45 |
Okinawa | Bunka Tenbusu Kan | Row-Action Type Image Reconstruction Method for Total Variation Regularization Hirotaka Oomori, Hiroyuki Kudo, Taizo Suzuki (Univ of Tsukuba) MI2012-123 |
In X-ray computed tomography(CT), image reconstruction method from incomplete projection data is a well-known ill-posed ... [more] | MI2012-123 pp.317-321 |
| 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 |
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