基于图像信息的彩色PDP动态子场编码优化方法

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。

Image-dependent dynamic subfield coding optimization in color PDPs

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 sa...