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Error Diffusion Algorithm for Grey Level Representation on Plasma Display Panel

机译:等离子显示面板上的灰度表示误差扩散算法

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The CRT has the nonlinear light intensity response to the input digital values. However, light intensity curve of the PDP is close to linear within the normal operating range. Thus, in order to generate images on the PDP being equivalent to those on the CRT, the modification on the input digital values should be made. This process is often called as inverse gamma correction. When the inverse gamma correction is applied, the number of displayable gray levels in dark areas is considerably reduced. It would result in false contours that reduce the quality of displayed images. Error diffusion can be applied to solve this problem. However, the luminance variation between two consecutive integer values is much greater than 'just noticeable difference' of human vision system. It makes minor pixels appear as isolated dots. In this paper, an error diffusion algorithm is proposed to reduce the luminance variation. Also, three algorithms called in this paper as 'Fraction doubling', 'Minor pixel separation' and 'Within-frame minor pixel allocation' are proposed.
机译:CRT具有对输入数字值的非线性光强度响应。但是,PDP的光强度曲线在正常工作范围内接近线性。因此,为了在PDP上生成与CRT上等效的图像,应该对输入数字值进行修改。此过程通常称为反伽马校正。当应用反伽马校正时,在暗区中可显示的灰度级数将大大减少。这将导致轮廓错误,从而降低显示图像的质量。可以采用误差扩散来解决此问题。但是,两个连续整数值之间的亮度变化远大于人类视觉系统的“仅明显差异”。它使次要像素显示为孤立点。本文提出了一种误差扩散算法来减少亮度变化。此外,本文提出了三种算法,称为“分数倍增”,“次像素分离”和“帧内次像素分配”。

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