P‐237: <i>Late‐News Poster:</i> A Low Grayscale Uniformity Improvement Scheme for OLED Based on Auto Demura

The semiconductor display industry is accelerating its development, with Demura technology mainly applied to OLED Mini/Micro LED, New display devices such as printing display improve image quality through technical adjustments, making the display effect more uniform and clear. The visual effect of OLED can be characterized by objective indicators such as chromaticity uniformity and luminance uniformity, and requires a lot of manual subjective confirmation to ensure the final compensation effect. In order to reduce human resource costs and automate the Demura algorithm, this paper adopts a U‐shaped network model to recognize and classify mura by objectifying the visual features of mura. Based on the result of classifying mura, different compensation values are used to improve the first pass rate of Demura process for display panels.

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Publication Details

Journal
SID Symposium Digest of Technical Papers
Published
2025-06-01
DOI
https://doi.org/10.1002/sdtp.18515
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

P‐237: Late‐News Poster: A Low Grayscale Uniformity Improvement Scheme for OLED Based on Auto Demura

SID Symposium Digest of Technical Papers
Geochemistry and Geologic Mapping
article

P‐237: Late‐News Poster: A Low Grayscale Uniformity Improvement Scheme for OLED Based on Auto Demura

article en

Abstract

The semiconductor display industry is accelerating its development, with Demura technology mainly applied to OLED Mini/Micro LED, New display devices such as printing display improve image quality through technical adjustments, making the display effect more uniform and clear. The visual effect of OLED can be characterized by objective indicators such as chromaticity uniformity and luminance uniformity, and requires a lot of manual subjective confirmation to ensure the final compensation effect. In order to reduce human resource costs and automate the Demura algorithm, this paper adopts a U‐shaped network model to recognize and classify mura by objectifying the visual features of mura. Based on the result of classifying mura, different compensation values are used to improve the first pass rate of Demura process for display panels.

SID Symposium Digest of Technical PapersVol. 56(1)
Yangtze Optical Electronic (China) (CN), Wuhan Municipal Engineering Design & Research Institute (CN)
Decent work and economic growth
Openalex Percentile: Top 70%
Geochemistry and Geologic Mapping
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