With the development of display devices towards high resolution and high refresh rate， the amount of video image data was increasing exponentially， which brought challenges to the bandwidth resources of the display system. From the perspective of human visual system， combining the change of the gaze point position and the sampling characteristics of the human eye foveal， an adaptive foveal image transmission algorithm based on human eye gaze point was proposed to reduce the data transmission bandwidth. The experimental results showed when the viewing distance was 2 and the gaze point position was at the center of the image， the comprehensive compression ratio was 12.257， the data transmission clock frequency was 12.532 MHz， and the total amount of data transmitted was 8.158% of the original total. The total amount of data transmission was greatly reduced， and the pressure on data transmission bandwidth was effectively relieved， so that video images with higher resolution and refresh rate could be displayed under the same clock frequency.