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.
The global open-source community shares many parallels with how the best
。关于这个话题，WPS下载最新地址提供了深入分析
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https://feedx.net，这一点在搜狗输入法2026中也有详细论述