针对 S形曲线全局动态调光算法对人脸图像处理的不足, 提出了一种改进的 S形曲线全局动态调光算法。通过对输入图像信号进行变换, 判定图像中是否存在人脸, 并据此调整生成的 S形曲线, 对像素值进行补偿并调节背光输出。仿真结果显示, 改进后的算法可以准确检出人脸图像, 并有效地提升了人脸图像的显示效果。样机测试结果表明, 液晶电视的图像质量有明显提升且平均能耗下降 21.28%。

In order to overcome the shortcoming of previous S-shaped curve global dimming algorithm for face image, an improved S-shaped curve global dimming algorithm is proposed. The images containing faces are first figured out based on several format kinds of signals. The S-shaped curve is then established to compensate the LC pixels. Simulation results show that the improved algorithm can detect face image accurately and increase the displayed image quality effectively. Prototype testing results show that the image quality of LCD TV has improved significantly and the average display energy consumption decreases by 21.28%.