基于子行驱动人眼视觉图像增强技术的研究  

Image Enhancement Technique Based on Sub Row Driving Human Visual

作　　者：于丽丽[1] 林志贤[1] 姚剑敏[1] 郭太良[1] 

机构地区：[1]福州大学物理与信息工程学院

出　　处：《电视技术》2011年第7期63-65,70,共4页Video Engineering

基　　金：国家"863"计划重大专项(2008AA03A313);福建省自然科学基金项目(2010J01333);福建省教育厅资助重点项目(JA09003)

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.

关 键 词：场致发射显示(FED) 子行驱动(SRD) 人眼视觉特性 图像增强 

分 类 号：TN949.16[电子电信—信号与信息处理] TN941.3[电子电信—信息与通信工程]