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40.45 dB。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 high-frequency images such as text and line. The proposed algorithm can restore the image information without distortion and effectively control the color edge influence.