OLED屏幕Demura补偿数据生成算法  

Demura Compensation Data Generation Algorithm for OLED Screen

作　　者：周小健 严银菓 周自平 ZHOU Xiaojian;YAN Yinguo;ZHOU Ziping(College of Physics and Information Engineering,Fu Zhou University,Fuzhou 350108,China)

机构地区：[1]福州大学物理与信息工程学院,福建福州350116

出　　处：《电视技术》2022年第9期10-16,21,共8页Video Engineering

摘　　要：为了解决传统有机发光二极管(Organic Light Emitting Diode,OLED)屏幕Demura补偿数据量过于庞大,所需资源开销较大的不足,设计一种基于Python语言的OLED屏幕Demura补偿数据生成算法。首先,利用Gamma函数与多项式相结合,拟合出单颗像素的灰阶-亮度曲线;其次,利用软件迭代求解合适的去归一化系数来构造补偿目标曲线;再次,根据每颗像素的输入灰阶所对应的补偿目标曲线亮度反解出在原始曲线下的补偿后灰阶;最后,利用多项式对输入灰阶与补偿后灰阶进行拟合,得到二者之间多项式系数。实验结果表明,所提的算法可以节省后续7%~15%的算力,经软件模拟补偿验证之后,整块屏幕的亮度标准差减小了65%以上。In order to solve the problem that traditional Organic Light Emitting Diode(OLED) screen demura compensation data is too large and requires high resource overhead, a Python based demura compensation data generation algorithm for OLED screen is designed.Firstly, the gray-scale brightness curve of a single pixel is fitted by gamma function and polynomial. Then, software is used to iteratively solve the appropriate de-normalized coefficients to construct the compensation target curve. Then, according to the brightness of the compensation target curve corresponding to the input gray level of each pixel, the compensated gray level under the original curve is reversely solved. Finally, polynomial is used to fit the input gray order and the compensated gray order to get the polynomial coefficients between them. The experimental results show that the algorithm can save 7%~15% of the subsequent calculation force, and the brightness standard deviation of the whole screen is reduced by more than 65% after the software simulation compensation verification.

关 键 词：补偿数据生成 曲线拟合 有机发光二极管(OLED) 

分 类 号：TN873[电子电信—信息与通信工程]