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81‐2: Invited Paper: Neural Network Based Quantitative Evaluation of Display Non‐Uniformity Corresponds Well with Human Visual Evaluation.

Authors :
Tsutsukawa, Kazuki
Kobayashi, Manabu
Bamba, Yusuke
Source :
SID Symposium Digest of Technical Papers; Aug2020, Vol. 51 Issue 1, p1214-1217, 4p
Publication Year :
2020

Abstract

We developed a neural network‐based method for evaluation of display luminance and color non‐uniformity (which we call Mura). We studied a correlation between our developed method and human visual evaluation because visual evaluation is the gold standard for Mura evaluation. We achieved Pearson correlation coefficient of 0.82. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
PEARSON correlation (Statistics)

Details

Language :
English
ISSN :
0097966X
Volume :
51
Issue :
1
Database :
Complementary Index
Journal :
SID Symposium Digest of Technical Papers
Publication Type :
Academic Journal
Accession number :
146080408
Full Text :
https://doi.org/10.1002/sdtp.14097