【摘要】 从人眼视觉系统的角度出发，结合凝视点位置的变化和人眼中心凹的采样特性，提出一种基于人眼凝视点自适应的中心凹图像传输算法，降低数据传输带宽。实验结果表明，当视距为2且凝视点位置位于图像中心时，综合压缩比为12.257，数据传输时钟频率为12.532MHz，传输的数据总量为原先数据总量的8.158%，有效地降低了数据传输总量，极大地缓解了数据传输带宽的压力，使得同一时钟频率下能够实现更高分辨率和刷新率的视频图像。更多还原

【Abstract】 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.更多还原