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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS 2023-12-08
11:40
Aichi Sakurayama Campus, Nagoya City University
(Primary: On-site, Secondary: Online)
Dynamic range compression of color images based on color feature enhancement
Kohkichi Muramatsu, Mitsuhiko Meguro (Nihon Univ.) SIS2023-39
 [more] SIS2023-39
pp.83-88
CNR, BioX 2023-03-01
13:30
Oita
(Primary: On-site, Secondary: Online)
Person Authentication based on Palm Images Using CNN
Kai Ebato, Kouya Tochikubo, Mitsuhiko Meguro (Nihon Univ.) BioX2022-67 CNR2022-33
While conventional biometric authentication extracts geometric features from images, this paper proposes a personal auth... [more] BioX2022-67 CNR2022-33
pp.30-35
SIS 2022-12-06
10:30
Osaka
(Primary: On-site, Secondary: Online)
Non Local Means Based on Local Statistics for Image Sequence Denoising
Ayae Takei, Mitsuhiko Meguro (Nihon Univ.) SIS2022-37
In this paper, we propose an extended Non Local Means for denoising noisy image sequences.Non Local Means is an image de... [more] SIS2022-37
pp.80-85
HCGSYMPO
(2nd)
2021-12-15
- 2021-12-17
Online Online Color Weakness Test Which is not Influenced by Figure Presentation Order
Mamoru Kawai, Mitsuhiko Meguro, Masakazu Furuichi (Nihon Univ.)
Recently, due to the revision of the School Health and Safety Law, color blindness tests have been carried out by the de... [more]
SIS 2021-03-05
11:30
Online Online A simple degree inspection method of color weakness using confused lines
Mamoru Kawai, Mitsuhiko Meguro, Masakazu Furuichi (Nihon Univ.) SIS2020-58
In this paper, we propose a creating method for an inspection plate that easily measures a degree of color weakness. The... [more] SIS2020-58
pp.126-131
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
13:30
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
Chromatic Aberration Correction of Color Images Using Deep Learning with Each Channel Training Based on Contrast Enhancement
Naoto Nagashima, Mitsuhiko Meguro (Nihon Univ.) ITS2019-35 IE2019-73
In this paper, we propose a new correcting method of chromatic aberration occurring in color images using Deep Learning.... [more] ITS2019-35 IE2019-73
pp.183-188
ITE-BCT, SIS 2019-10-24
14:50
Fukui Fukui International Activities Plaza Data-Dependent Non-Local Means based on local variance
Junya Matsuoka, Mitsuhiko Meguro (Nihon Univ.) SIS2019-15
In this paper, we propose a new correcting Non Local Means (NL-means) algorithms with data-dependent method. The NL-mean... [more] SIS2019-15
pp.35-40
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
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2017-02-21
15:15
Hokkaido Hokkaido Univ. Chromatic Aberration Reduction Based on Similarity Measure in L*a*b* Color Space for Degraded Color Image
Yuuki Nakagawa, Mitsuhiko Meguro (Nihon Univ.) ITS2016-60 IE2016-118
 [more] ITS2016-60 IE2016-118
pp.293-298
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2017-02-21
15:45
Hokkaido Hokkaido Univ. A new Non Local Means for Denoising of Mixed Noise Based on Robust Similarity measure
Haruki Niikura, Mitsuhiko Meguro (Nihon Univ.) ITS2016-61 IE2016-119
 [more] ITS2016-61 IE2016-119
pp.299-304
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 2014-03-07
11:30
Osaka Gran Front Osaka, Knowledge Capital C-9F, 901 Design of Ll filters based on local shape clustering of images
Masanori Saito, Mitsuhiko Meguro (Nihon Univ.) SIS2013-69
 [more] SIS2013-69
pp.69-73
SIS 2013-12-13
11:10
Tottori Torigin Bunka Kaikan (Tottori) The objective evaluation of saliency for users with defective color vision
Ryohei Wada, Mitsuhiko Meguro (Nihon Univ.) SIS2013-48
The saliency map approach, which represented the regions of human gaze in a state of unconsciousness, has already been p... [more] SIS2013-48
pp.115-120
SIS, IPSJ-AVM 2013-09-13
10:00
Tokyo Waseda Univ. [Tutorial Lecture] Color Vision and Its Algorithms -- Towards a spread of Color Universal Design --
Mitsuhiko Meguro (Nihon Univ.) SIS2013-23
 [more] SIS2013-23
pp.59-64
SIS 2012-12-13
10:00
Chiba Nihon University Tsudanuma Campus Color Image Segmentation by Using the CIEDE2000 Color-Difference Formula
Yamato Tsuruoka, Mitsuhiko Meguro (Nihon Univ.) SIS2012-29
 [more] SIS2012-29
pp.1-6
SIS 2012-12-14
11:05
Chiba Nihon University Tsudanuma Campus A Design Method of Ll Filters with a Desired Frequency Characteristic
Masanori Saito, Mitsuhiko Meguro (Nihon Univ.) SIS2012-43
 [more] SIS2012-43
pp.75-80
SIS 2011-03-03
14:50
Tokyo Tokyo City University (Setagaya Campus) Preferential Region Merging of Segmented Images Based on Saliency Map
Mitsuhiko Meguro, Kazuhiro Nakao (Nihon Univ.), Akira Taguchi (Tokyo City Univ.) SIS2010-61
In this paper, we propose a new region merging method for over-segmented color images. The proposed method can decide th... [more] SIS2010-61
pp.43-48
SIS 2011-03-04
14:50
Tokyo Tokyo City University (Setagaya Campus) A Novel Design Method of General Weighted Median Filters by the Simulated Annealing
Mitsuhiko Meguro (Nihon Univ.), Akira Taguchi (Tokyo City Univ.) SIS2010-71
 [more] SIS2010-71
pp.97-102
SIS 2008-03-13
16:35
Tokyo Musashi Institute of Technology(Setagaya) Extraction of an arbitrary region from an image sequence by rough instruction
Hiroaki Fujisaki, Mitsuhiko Meguro (Nihon Univ.) SIS2007-79
 [more] SIS2007-79
pp.63-68
IE, SIP, ICD, IPSJ-SLDM 2004-10-21
11:00
Yamagata   Detection of the difficult colors for discrimination by dichromats and color transform for the legibility of color images based on confusion loci theory and color-defective vision models
Mitsuhiko Meguro, Chihiro Takahashi, Toshio Koga (Yamagata Univ.)
In this paper, we propose a color conversion method for realizing barrier free of color defective vision. Human beings i... [more] SIP2004-79 ICD2004-111 IE2004-55
pp.19-24
 Results 1 - 20 of 20  /   
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