P‐106: A Based Machine Learning Model for the Prediction of Initial Gamma Values for OLED Panels

Gamma tuning is an important step in producing high‐quality OLED panels; in order to ensure the quality of OLED panels, OLED panels usually need 9 to 12 gamma curves at one frequency, covering the entire brightness range of the panel. And there are several adjusting nodes (generally 15~27) on each g...

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Bibliographic Details
Published inSID International Symposium Digest of technical papers Vol. 55; no. 1; pp. 1788 - 1789
Main Authors Shen, Hao, Su, Zhifu
Format Journal Article
LanguageEnglish
Published Campbell Wiley Subscription Services, Inc 01.06.2024
Subjects
Gamma tuning
Machine learning
OLED
Optical equipment
Panels
Tuning
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Summary:Gamma tuning is an important step in producing high‐quality OLED panels; in order to ensure the quality of OLED panels, OLED panels usually need 9 to 12 gamma curves at one frequency, covering the entire brightness range of the panel. And there are several adjusting nodes (generally 15~27) on each gamma curve. The current gamma tuning needs to calibrate each node through external optical equipment and stores them in the display IC. However, the initial values of the register adjusted by the current method is less accurate. The method is proposed for gamma values prediction based on machine learning that improves accuracy greatly.
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ISSN:0097-966X
2168-0159
DOI:10.1002/sdtp.17923