基于子行驱动人眼视觉图像增强技术的研究

摘要

介绍了FED子行驱动灰度调制技术原理,同时为了解决子行驱动对后级驱动芯片工作速度要求高的问题,在降低图像灰度数据位数的同时应用误差扩散法来实现图像的还原.误差扩散法较好地再现了图像细节,减少了失真现象,但是图像的灰度级降低,整体对比度下降.根据人眼的视觉特性,提出了基于人眼视觉特性的图像增强技术,并应用于子行驱动FED显示系统中,使视频图像显示的对比度有所提高,画质更为细腻,更加接近人眼的视觉效果.%The technology principle of sub-row driving gray-scale modulation is introduced and is used in FED. In order to satisfy the demand of the chip driving high-speed of the SRD method, some image data bits are reduced,while the application of error diffusion method is used to achieve image restoration. Error-diffusion method reproduces the image detail better and reduces distortion phenomenon, but will reduce the gray-scale and overall contrast.According to the human visual characteristics, the image enhancement technology based on human visual is proposed to improve the video image quality, and applied to the sub-row driving of FED, and makes the contrast of the video image increased, makes the image quality more delicated and closer to the human visual effect.