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A Quantitative Evaluation Method for Luminance Non-uniformity of a Large LED Backlight
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This report describes a quantification method for luminance non-uniformity of a large LED backlight. In experiments described herein, participants subjectively evaluated artificial indistinct Mura images that simulated luminance non-uniformity of an LED backlight. We measured the luminance distribution of the Mura images. Then, the measured luminance distribution was converted into S-CIELAB, in which anisotropic properties of the spatial frequency response of human vision were considered. Subsequently, some indexes for the quantification model were extracted. We conducted multiple regression analyses using the subjective evaluation value and the index values obtained from measured luminance of Mura image. We proposed a quantification model consisting of four indexes: high and low luminance area, number of Mura edges, sum of Mura edge areas, and maximum luminance difference.
- Publication
- IEICE TRANSACTIONS on Electronics Vol.E93-C No.11 pp.1564-1571
- Publication Date
- 2010/11/01
- Publicized
- Online ISSN
- 1745-1353
- DOI
- 10.1587/transele.E93.C.1564
- Type of Manuscript
- Special Section INVITED PAPER (Special Section on Electronic Displays)
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Yuko MASAKURA, Tohru TAMURA, Kunihiko NAGAMINE, Satoshi TOMIOKA, Mitsunori UEDA, Yoshihide SHIMPUKU, "A Quantitative Evaluation Method for Luminance Non-uniformity of a Large LED Backlight" in IEICE TRANSACTIONS on Electronics,
vol. E93-C, no. 11, pp. 1564-1571, November 2010, doi: 10.1587/transele.E93.C.1564.
Abstract: This report describes a quantification method for luminance non-uniformity of a large LED backlight. In experiments described herein, participants subjectively evaluated artificial indistinct Mura images that simulated luminance non-uniformity of an LED backlight. We measured the luminance distribution of the Mura images. Then, the measured luminance distribution was converted into S-CIELAB, in which anisotropic properties of the spatial frequency response of human vision were considered. Subsequently, some indexes for the quantification model were extracted. We conducted multiple regression analyses using the subjective evaluation value and the index values obtained from measured luminance of Mura image. We proposed a quantification model consisting of four indexes: high and low luminance area, number of Mura edges, sum of Mura edge areas, and maximum luminance difference.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/transele.E93.C.1564/_p
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@ARTICLE{e93-c_11_1564,
author={Yuko MASAKURA, Tohru TAMURA, Kunihiko NAGAMINE, Satoshi TOMIOKA, Mitsunori UEDA, Yoshihide SHIMPUKU, },
journal={IEICE TRANSACTIONS on Electronics},
title={A Quantitative Evaluation Method for Luminance Non-uniformity of a Large LED Backlight},
year={2010},
volume={E93-C},
number={11},
pages={1564-1571},
abstract={This report describes a quantification method for luminance non-uniformity of a large LED backlight. In experiments described herein, participants subjectively evaluated artificial indistinct Mura images that simulated luminance non-uniformity of an LED backlight. We measured the luminance distribution of the Mura images. Then, the measured luminance distribution was converted into S-CIELAB, in which anisotropic properties of the spatial frequency response of human vision were considered. Subsequently, some indexes for the quantification model were extracted. We conducted multiple regression analyses using the subjective evaluation value and the index values obtained from measured luminance of Mura image. We proposed a quantification model consisting of four indexes: high and low luminance area, number of Mura edges, sum of Mura edge areas, and maximum luminance difference.},
keywords={},
doi={10.1587/transele.E93.C.1564},
ISSN={1745-1353},
month={November},}
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TY - JOUR
TI - A Quantitative Evaluation Method for Luminance Non-uniformity of a Large LED Backlight
T2 - IEICE TRANSACTIONS on Electronics
SP - 1564
EP - 1571
AU - Yuko MASAKURA
AU - Tohru TAMURA
AU - Kunihiko NAGAMINE
AU - Satoshi TOMIOKA
AU - Mitsunori UEDA
AU - Yoshihide SHIMPUKU
PY - 2010
DO - 10.1587/transele.E93.C.1564
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E93-C
IS - 11
JA - IEICE TRANSACTIONS on Electronics
Y1 - November 2010
AB - This report describes a quantification method for luminance non-uniformity of a large LED backlight. In experiments described herein, participants subjectively evaluated artificial indistinct Mura images that simulated luminance non-uniformity of an LED backlight. We measured the luminance distribution of the Mura images. Then, the measured luminance distribution was converted into S-CIELAB, in which anisotropic properties of the spatial frequency response of human vision were considered. Subsequently, some indexes for the quantification model were extracted. We conducted multiple regression analyses using the subjective evaluation value and the index values obtained from measured luminance of Mura image. We proposed a quantification model consisting of four indexes: high and low luminance area, number of Mura edges, sum of Mura edge areas, and maximum luminance difference.
ER -
English
