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81‐2: Invited Paper: Neural Network Based Quantitative Evaluation of Display Non‐Uniformity Corresponds Well with Human Visual Evaluation.
- 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 :
- PEARSON correlation (Statistics)
Subjects
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