RGB-Delta结构AMOLED子像素渲染算法的研究

Research on RGB-Delta Structure AMOLED Sub-Pixel Rendering Algorithm

由于制造工艺的限制,RGB-Delta结构主动阵列有机发光二极管(AMOLED)子像素排列不规则,三基色子像素呈三角形分布,且每个像素单元由两个子像素构成,因此无法正常显示RGB图像。为了解决这一问题,本文通过分析RGB-Delta结构AMOLED子像素排列的特点,提出渲染单元内子像素的共用原则及方式,计算某一子像素与共用子像素在原图像中对应的灰阶差值,并提出基于阈值比较方法来计算最佳渲染权重系数,从而由原图像的像素灰阶值权重求和得到虚拟像素灰阶值。对算法进行随机图像测试,结果表明,处理后图像与原图像的均方误差平均值为4.68×10-5,峰值信噪比平均值为40.45dB。同时还对该算法进行了点屏显示验证,测试内容包括文字、线条等高频图像。本文算法在色彩不失真和有效控制彩边效应的情况下,较好地还原了图像信息。

Due to the limitation of manufacturing technology,the sub-pixels of RGB-Delta structure active-matrix organic light emitting diode(AMOLED)are arranged irregularly,the trichrome sub-pixels are distributed as triangle,and each pixel unit is composed of two sub-pixels,so the RGB image cannot be displayed normally.In order to solve this problem,by analyzing the arrangement characteristics of sub-pixels in RGB-Delta structure AMOLED,this paper proposes the sharing principle and method of the sub-pixels in rendering unit,and calculates the gray-scale difference between a sub-pixel and a shared sub-pixel in the original image.A method based on threshold comparison is proposed to calculate the optimal rendering weight coefficient,and the virtual pixel grayscale value is obtained by summing the pixel gray-scale value weights of the original image.Random image tests show that the mean square error of the processed image and original image is 4.68×10-5,and the mean peak signal-to-noise ratio is 40.45 dB.At the same time,the algorithm is verified by point screen display,including highfrequency images such as text and line.The proposed algorithm can restore the image information without distortion and effectively control the color edge influence.