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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 37 of 37 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
IBISML 2014-03-07
11:10
Nara Nara Women's University Blind Separation of Sparse and Smooth Signals via Approximate Message Passing Algorithm
Shigeki Yokoyama, Toshiyuki Tanaka (Kyoto Univ.) IBISML2013-76
We consider the problem to recover source signals from noisy mixed ones. This can be described as a matrix reconstructio... [more] IBISML2013-76
pp.71-78
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
SIS 2013-03-07
16:40
Shizuoka Create Hamamatsu Generating a lambda map in spacial adaptive TV filter
Masaru Tanaka, Sho Miura, Hiroyuki Tsuji, Tomoaki Kimura (Kanagawa Inst. of Tech.) SIS2012-60
TV filter is a non-linear filter that can remove Gaussian noise effectively. However, it has a drawback that the detaile... [more] SIS2012-60
pp.79-84
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
MI 2012-01-19
10:30
Okinawa   Bayesian Approach for the Denoising to PET Dynamic Data without Arterial Blood Sampling
Takahiro Kozawa, Hidekata Hontani (NIT), Kazuya Sakaguchi (Kitasato Univ), Muneyuki Sakata (TMGHIG), Yuichi Kimura (NIRS) MI2011-79
In this report, we propose a new method for denoising tissue time activity curve (tTAC) measured from brain PET images. ... [more] MI2011-79
pp.11-16
IBISML 2011-11-10
15:45
Nara Nara Womens Univ. A latent variational approximation method of Total variation for noise reduction
Hayaru Shouno (UEC), Masato Okada (The Univ. of Tokyo) IBISML2011-74
(To be available after the conference date) [more] IBISML2011-74
pp.217-222
IN, NS
(Joint)
2011-03-03
09:40
Okinawa Okinawa Convention Center Characteristic analysis of flow admission control based on equality when requested bandwidth follows some distribution
Takuto Kimura, Sumiko Miyata, Katsunori Yamaoka (Tokyo Inst. of Tech.) IN2010-157
Call admission control (CAC) based on equality of heterogeneous traffic has been proposed and this CAC
reduce total ca... [more]
IN2010-157
pp.79-84
EMD, R 2008-02-15
14:55
Kyoto   Accuracy Improvement of Dual Wavelength Push-pull Reflectometry (DWPR) Using a Total Reflector
Yasutoshi Komatsu, Keiichi Inoue, Seiichi Onoda (Watanabe Co.,Ltd.,), Nobuo Tsukamoto (DSP Technology Associaetes, Inc.) R2007-65 EMD2007-120
DWPR method uses an optical reflective sensor attached at the end of an optical fiber. The reflectance of the sensor var... [more] R2007-65 EMD2007-120
pp.37-42
IE, IPSJ-AVM, CS, ITE-BCT 2007-12-13
16:35
Aichi Nagoya Univ. A Study on Numerical Computation of Pseudo TV-norm and its Application to Image Segmentation
Kei Kawamura, Daisuke Ishii, Hiroshi Watanabe (Waseda Univ.)
An image decomposition problem using a Total Variation norm is the object of this paper. In a conventional method, this ... [more] CS2007-39 IE2007-122
pp.57-62
VLD, IPSJ-SLDM 2007-05-11
10:20
Kyoto Kyodai Kaikan A Clock Deskew Method using PDE with Discrete Delay
Yuko Hashizume, Naoki Otani, Yasuhiro Takashima (Univ. of Kitakyushu), Yuichi Nakamura (NEC) VLD2007-9
In deep-submicron technology, process variations can severely affect the performance and the yield of VLSI chips. As a c... [more] VLD2007-9
pp.13-18
 Results 21 - 37 of 37 [Previous]  /   
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