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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 16件中 1~16件目  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
13:30
Hokkaido Hokkaido Univ. 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
(To be available after the conference date) [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 2010-12-02
13:45
Nara   Robust sharpening and high-pass filtering method by using switching Ll filters
Yuta Kawashima, Mitsuhiko Meguro (Nihon Univ.) SIS2010-41
In this paper, we propose a new L$l$ filter which has two soft switched sub-filters tuned by LMS algorithm. L$l$ filters... [more] SIS2010-41
pp.35-40
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
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