Affiliation:
1. School of Mechatronic Engineering and Automation Shanghai University Shanghai China
2. Microelectronics Research and Development Center Shanghai University Shanghai China
Abstract
With the development of display devices towards high resolution and high refresh rate, the amount of video image data is increasing exponentially, which brings 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 is proposed to reduce the data transmission bandwidth. The experimental results show when the viewing distance is 2 and the gaze point position is at the center of the image. The comprehensive compression ratio is 12.257, the data transmission clock frequency is 12.532MHz, and the total amount of data transmitted is 8.158% of the original total. The total amount of data transmission is greatly reduced, and the pressure on data transmission bandwidth is effectively relieved. So that video images with higher resolution and refresh rate can be displayed under the same clock frequency.
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