Compensation of OLED brightness uniformity based on spatial temperature gradient

ZHOU Hongbin; YU Xinrui; PENG Cong; DONG Qiuyu; LI Dong; LI Xifeng

doi:10.3724/CJLCD.2026-0127

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Compensation of OLED brightness uniformity based on spatial temperature gradient

Display Technology and Applications | 更新时间：2026-10-16

- Compensation of OLED brightness uniformity based on spatial temperature gradient
- Chinese Journal of Liquid Crystals and Displays Vol. 41, Issue 9, Pages: 1247-1254(2026)
- 作者机构：
  
  1.上海大学机电工程与自动化学院，上海 200040
  2.上海大学新型显示技术及应用集成教育部重点实验室，上海 200072
  3.上海大学上海市新型显示设计制造与系统集成专业技术服务平台，上海 200072
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(U22A6002)
- DOI：10.3724/CJLCD.2026-0127
  CLC： TP391.41;TN383.1
- CSTR：32172.14.CJLCD.2026-0127
- Received：06 July 2026，
  
  Revised：2026-08-19，
  
  Published：05 September 2026
- 稿件说明：
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ZHOU Hongbin, YU Xinrui, PENG Cong, et al. Compensation of OLED brightness uniformity based on spatial temperature gradient[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(9): 1247-1254.
DOI：

ZHOU Hongbin, YU Xinrui, PENG Cong, et al. Compensation of OLED brightness uniformity based on spatial temperature gradient[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(9): 1247-1254. DOI： 10.3724/CJLCD.2026-0127. CSTR： 32172.14.CJLCD.2026-0127.

摘要

有机发光二极管（OLED）显示在长期电和热应力作用下，易产生亮度衰减不均匀及结构性残影现象。现有数据驱动补偿方法由于忽略像素间的空间热耦合效应，难以准确补偿静态或高频驱动条件下局部发热导致的不均匀老化。基于以上问题，本文提出了一种基于热扩散机制的亮度补偿架构，通过整合离散二维热扩散模型来近似邻近像素间的热传导，设计了一种物理增强型数据模拟方法，从而能够生成具有空间相关性的老化模式。基于该建模架构，构建了一个空间感知深度网络，该网络采用二维卷积架构并结合注意力机制，以同时捕捉局部结构特征和对退化敏感的参数。实验结果表明，与传统的像素独立模型相比，所提方法在设定条件下的亮度退化准确率与结构相似性分别提升2.7%与0.273，适配长期老化和空间非均匀退化场景。结合定性视觉对比证实，所提方法能够有效抑制烧屏伪影，并在复杂区域保持图像结构一致性。

Abstract

Organic light-emitting diode（OLED） displays are subject to uneven brightness decay and burn-in under prolonged electrical and thermal stress. Existing data-driven compensation methods struggle to accurately compensate for uneven aging caused by localized heating under static or high-frequency drive conditions， as they neglect the spatial thermal coupling effects between pixels. To address these issues， this paper proposes a brightness compensation architecture based on thermal diffusion mechanisms. By integrating a discrete two-dimensional thermal diffusion model to approximate heat conduction between neighboring pixels， we designed a physically enhanced data simulation method capable of generating spatially correlated aging patterns. Based on this modeling architecture， we constructed a spatially aware deep neural network that employs a two-dimensional convolutional architecture combined with an attention mechanism to simultaneously capture local structural features and parameters sensitive to degradation. Experimental results show that， compared to traditional pixel-independent models， the proposed method improves brightness degradation accuracy and structural similarity by 2.7% and 0.273， respectively， under specified conditions—particularly in scenarios involving long-term aging and spatially non-uniform degradation. Qualitative visual comparisons confirm that the proposed method effectively suppresses burn-in artifacts while maintaining structural consistency in complex regions.

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references

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