Another way to approach dithering is to analyse the input image in order to make informed decisions about how best to perturb pixel values prior to quantisation. Error-diffusion dithering does this by sequentially taking the quantisation error for the current pixel (the difference between the input value and the quantised value) and distributing it to surrounding pixels in variable proportions according to a diffusion kernel . The result is that input pixel values are perturbed just enough to compensate for the error introduced by previous pixels.
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On top of that, we can get two full pixels of color using foreground and background colors. If we render an upper block with a foreground color of cyan and a background color of red, we get a cyan pixel sitting on top of a red pixel!，详情可参考Line官方版本下载
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