基于图像信息的彩色PDP动态子场编码优化方法  

Image-dependent dynamic subfield coding optimization in color PDPs

作　　者：张小宁[1,2] 梁志虎[1] 刘纯亮[1] 丁兴隆 

机构地区：[1]西安交通大学电子物理与器件教育部重点实验室,陕西西安710049 [2]彩虹集团技术中心,北京100085

出　　处：《光电子．激光》2010年第3期354-358,共5页Journal of Optoelectronics·Laser

基　　金：国家"863"计划资助项目(2008AA03A309);陕西省13115重大科技专项资助项目(2007ZDKG-53)

摘　　要：为改善"累积"发光驱动方法显示静态图像时的灰度级轮廓,提出了一种基于有效灰度级均匀分割采样的动态子场编码(DSC)算法。首先对输入图像中的孤立灰度区间进行灰度采样,然后对剩余灰度级均匀分割,选择各灰度区间概率密度较大的灰度级作为采样灰度级,相邻采样灰度级之差即为子场编码权值,从而使采样灰度级均匀分布在输入图像的有效灰度区间,并使采样灰度级和子场编码权值随图像变化。仿真和实验结果表明,该算法不仅能真实再现大面积的背景,而且使图像细节信息尽可能保留,显著减小了静态图像的轮廓。A dynamic subfield coding（DSC） based on uniform sample and segmentation for valid gray scales is proposed to solve the problem of the lack of gray scale expression capability for static images in ＇accumulation＇ lighting method.In this method,gray scales in isolated gray regions are sampled,then the gray scales left are segmented symmetrically and that with higher histogram can be sampled in each gray segmented region.The subfield weight is the difference of adjacent sampled gray scales.So the gray scales sampled are distributed symmetrically,subfield weight and the gray scales sampled are changed according to the images.The simulation and experiment results show that the proposed method can express the large area background,keep the image details furthest and reduce the contour of static images.

关 键 词：均匀采样 动态子场编码(DSC) 动态假轮廓(DFC) 等离子体显示板(PDP) 

分 类 号：TN873[电子电信—信息与通信工程]