灰度与亮度拟合对LCD面板Mura改善的影响

Influence of fitting curve between grayscale and brightness on Mura improvement of LCD panel

选择有限的采样灰度级准确拟合出整个灰度区间的亮度和灰度关系,是影响LCD面板Mura改善效果、实时性和成本的关键因素。通过迭代方法优化采样灰度级,并采用分段伽马拟合方法研究了采样灰度级对Mura改善的影响。针对1 920×1 080的55inTFT-LCD模组,6个采样灰度级的优化使拟合亮度曲线与实际亮度曲线的相对误差之和在0～255灰度级从5.64降到3.68,4个采样灰度级的优化使相对误差之和从29.27降到8.98。通过对6个和4个优化采样灰度级的实验结果比较和分析,结果表明,4个优化采样灰度级可以在Mura改善效果、实时性及成本三者之间达到较好的平衡。

It is a key issue to select limited sampled grayscales to fit the curve accurately between the luminance and whole grayscales that affect the Mura improvement, real time, and cost of LCD panels. The limited sampled grayscales were optimized by the iterative method, and the influence of the opti- mized grayscales on the Mura improvement was investigated by the segmented gamma fitted method. To a 55 in TFT-LCD module with resolution of 1 920×1 080, the relative error in 0--255 grayscale between fitting and actual brightness curve decreases from 5.64 to 3.68 with optimization of six sam- pied grayseales and from 29.27 to 8.98 with optimization of four sampled grayscales. The experimen- tal results of six and four optimized sampled grayseales on the mura improvement indicates that the rnura improvement effect, real-time, and cost of LCD panels by using four optimized sampled grayscales are better.