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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, IPSJ-AVM, ITE-3DMT [detail] 2020-06-03
13:00
Online Online Luminance-Independent Hue Image Generation Method Based on CIELAB Color Space
Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) SIS2020-1
In this paper, we propose luminance-independent hue-image generation method based on the CIELAB color space, from RAW im... [more] SIS2020-1
pp.1-6
EA, SIP, SP 2019-03-14
10:00
Nagasaki i+Land nagasaki (Nagasaki-shi) Hue Correction Scheme Based on CIELAB Color Space
Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) EA2018-99 SIP2018-105 SP2018-61
In this paper, we propose a novel color correction scheme based on the CIELAB color space. Image processing methods cons... [more] EA2018-99 SIP2018-105 SP2018-61
pp.1-6
MICT, MI 2018-11-06
10:40
Hyogo University of Hyogo Improvement of Laparoscopic Color Image Diagnosis for Automatic Detection of Coded Defect Region and Application of Effective Classifier Parameter
Norifumi Kawabata (Nagoya Univ.), Toshiya Nakaguchi (Chiba Univ.) MICT2018-42 MI2018-42
In addition to judgment by human eyes up to the present, it is advanced for R&D of diagnostic imaging systems by using a... [more] MICT2018-42 MI2018-42
pp.21-26
IMQ 2016-05-27
13:40
Chiba Chiba Univ. Multi-view 3D CG Image Quality Assessment by Using S-CIELAB Color Space Including Visible Digital Watermarking by Regions in case the Background Region is Gray Scale
Norifumi Kawabata, Masaru Miyao (Nagoya Univ.) IMQ2016-1
Previously, we studied about multi-view 3D CG image quality evaluation including visible digital watermarking by regions... [more] IMQ2016-1
pp.1-6
SIS 2016-03-11
09:30
Tokyo Tokyo City Univ. Lightness Correction and Color Gamut Adjustment for Image Enhancement Considering Characteristics of Human Visual Perception
Tadahiro Azetsu (Yamaguchi Prefectural Univ.), Chiaki Ueda, Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2015-61
In this report, we discuss a method of color image enhancement, which adapts to the characteristics of human visual perc... [more] SIS2015-61
pp.75-80
IMQ 2015-05-22
15:25
Toyama   3D CG Image Quality Metrics for the Contrast Enhancement of the Object Region Including S-CIELAB Color Space with 8 Viewpoints Parallax Barrier Method
Norifumi Kawabata, Masaru Miyao (Nagoya Univ.) IMQ2015-4
Previously, there were many studies about the image quality evaluation based on S-CIELAB color space including the spati... [more] IMQ2015-4
pp.17-22
SIS 2012-12-13
10:20
Chiba Nihon University Tsudanuma Campus A Color Removal Method of Digital Images Considering Importance of Difference of Colors
Shi Bao, Go Tanaka (Nagoya City Univ.) SIS2012-30
In a color-to-gray conversion which only considers lightness components, differences of colors are not appropriately ref... [more] SIS2012-30
pp.7-12
IE, MVE 2012-03-12
14:00
Toyama Toyama University Objective assessment model of QoE for Audio-Visual contents by color information
Masaharu Sato, Shoutaro Tsuji, Keiji Shibata, Yasuhiro Inazumi, Yuukou Horita (Univ. of Toyama), Osamu Sugimoto, Sei Naito (KDDI R&D Labs.) IE2011-153 MVE2011-115
In this paper, we discuss the performance improvement of the previously proposed objective quality evaluation model of A... [more] IE2011-153 MVE2011-115
pp.115-119
SIS, SIP, IPSJ-AVM 2008-09-25
16:35
Fukuoka Tobata Campus, Kyushu Institute of Technology A Gamut Grasping by Use of Bisection Method for CIELAB Color Space and Its Application to Lightness Histogram Equalization
Go Tanaka, Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIP2008-96 SIS2008-31
The gamut of RGB color space is a cubic and its side range is $[0,255]$. Therefore, it is very easy to judge whether the... [more] SIP2008-96 SIS2008-31
pp.39-42
CQ, NS, ICM
(Joint)
2006-11-17
15:10
Tottori Tottori Univ. of Environmental Studies Full reference image quality evaluation model considering the property of S-CIELAB color space
Hiroshi Matsumoto, Keiji Shibata, Yuukou Horita (Univ. of Toyama) CQ2006-77
Most of the proposed image quality evaluation models are generally based on only luminance information.
So, color infor... [more]
CQ2006-77
pp.101-106
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