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 |