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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.。业内人士推荐夫子作为进阶阅读
，这一点在WPS下载最新地址中也有详细论述
25.6 万词汇表 — 庞大的词汇表能够很好地处理结构化数据和 JSON。业内人士推荐一键获取谷歌浏览器下载作为进阶阅读
That’s the basis of our custom renderer - we diff each cell and only print changed characters. Here’s the same example from above - but now we just patch the 6 changed cells.
Timestamps use frame-level alignment: frame * 0.08s (8x subsampling × 160 hop / 16kHz)