Localized Adaptive Compensation of Temperature Color Shift in Micro-LED Based on Machine Learning Algorithms

Micro-LED has poor thermal stability and are leading to color shift easily. To address this issue, this paper proposes a method for achieving global compensation using machine learning algorithms, which features localized adaptive compensation and high compensation accuracy. Experimental results demonstrate that this method can achieve effective compensation, with a maximum gain of approximately 15% in metric of mean bias and a maximum gain of approximately 14% in metric of uniformity compared to before compensation.