| Autor: |
Li, Xi, Hao, Zhiyang, Zhang, Yanjun, Lyu, Bojia |
| Předmět: |
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| Zdroj: |
SID Symposium Digest of Technical Papers; Apr2024 Suppl 1, Vol. 55 Issue 1, p1216-1219, 4p |
| Abstrakt: |
As a widely acknowledged next‐generation display technology in the display industry, Micro LED has its advantages, but also faces significant issues with the mura phenomenon. Moreover, traditional Demura algorithms have numerous limitations when applied to Micro LEDs, leading to limited compensation effects. This paper first introduces the specific problems of current Demura algorithms in Micro LED applications and proposes a Demura algorithm based on Generative Adversarial Networks (GANs) from deep learning, targeted to address these issues. Subsequently, it delves into the principles of Generative Adversarial Networks, their integration with Demura algorithms, and finally, analyzes and summarizes the actual usage effects. The paper concludes with an analysis and outlook on potential improvements and future applications of the model. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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