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Image-based dynamic subfield coding for improving gray scale smooth in color PDPs

机译:基于图像的动态子场编码,可改善彩色PDP中的灰度平滑度

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摘要

Dynamic subfield coding (DSC) based on uniform sample and symmetrical segmentation for valid gray scales is proposed to resolve the lack of gray scale expression capability for static images in accumulation light emission mode. In this method, gray scale is sampled in isolated gray region, then gray scales left is segmented symmetrically and gray scales with higher histogram can be sampled in each gray region segmented. The subfield weight is the difference of adjacent sampled gray scales. So the gray scales sampled is distributed symmetrically, the gray scales sampled and subfield weight is varied according to the image. The simulation and experiment results show that the proposed method can not only express the large area background perfectly, but also keep the image details furthest and reduce the contour of static image.
机译:提出了基于均匀样本和对称分割的有效子灰度动态子场编码(DSC),以解决累积发光模式下静态图像灰度表示能力不足的问题。在这种方法中,在孤立的灰度区域中对灰度进行采样,然后对左侧的灰度进行对称分割,并在每个分割的灰度区域中对具有较高直方图的灰度进行采样。子场权重是相邻采样灰度的差。因此,采样的灰度对称分布,采样的灰度和子场权重根据图像而变化。仿真和实验结果表明,该方法不仅可以很好地表达大面积背景,而且可以使图像细节保持最远,减少静态图像的轮廓。

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