Aiming at the problem of high power consumption of electrowetting display during playing video, a low-power video display driving system based on human visual characteristics was designed. Adopting histogram correction and histogram matching, the system seta threshold value in combination with human visual characteristics to reduce the number of high-brightness pixels in the image, thereby reducing system power consumption. At the same time, a low-power multi-grayscales driving waveform was proposed, which combines the photoelectric characteristics of the electrowetting display to further reduce the power consumption of the system while achieving accurate gray-scale modulation. The experimental results show that the system improves the problems of oil-splitting and oil reflow, drives the 1 024×768 resolution electrowetting display successfully and the display effect is good. Besides, the highest gray level of the pixel reaches 16.When measuring the same video, the average power is reduced to 1.75 W and the power consumption is reduced by about 20%.