基于视觉舒适度的LED背光显示器最优亮度控制模型

Optimal brightness control model of LED backlight display based on visual comfort

为提高现有LED背光显示器亮度的视觉舒适度,通过主观评价和客观测量相结合的方法,对LED背光显示器视觉舒适度进行分析,建立了LED背光显示器最优亮度控制模型;根据环境亮度、显示器亮度、以及在最优视觉舒适度下LED显示器亮度调光等级(简称:最优视觉调光等级)的映射关系,提出基于BP神经网络的LED背光显示器亮度控制模型;以实测环境亮度和屏幕亮度为输入量,最优视觉调光等级为输出量,计算模型精度,并进行了实验测试和分析。结果表明:该模型能成功预测屏幕的最优视觉调光等级,神经网络训练结果相关系数为99.97%,检验组误差小于1.84%;同时基于该模型建立了LED背光控制系统,经测试该系统最大误差为0.945%。

In order to improve the visual comfort of the LED backlight display,the visual comfort of LED backlight display is analyzed by two methods of subjective evaluation and objective measurement,and the optimal brightness control model of LED backlight display is established.Based on the mapping relationship of ambient brightness,display brightness,and brightness dimming level of LED display under optimum visual comfort(abbreviation:optimal visual dimming level),the brightness control model for LED-backlight displays based on BP neural network is proposed.With the measured ambient brightness and screen brightness as input,the optimal visual dimming grade is output,the model precision is calculated,and the experimental test and analysis are carried out.The research results show that the model can successfully predict the optimal visual dimming level of the screen,the correlation coefficient of neural network training result is 99.97%,the percentage deviation of the test system is less than 1.84%.At the same time,a LED backlight control system is established based on the above model.The maximum percentage deviation of the system is 0.945%.