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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.。新收录的资料对此有专业解读
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Perplexity Computer 目前仅面向 Max 订阅用户开放，将会在晚些时候开放给 Pro 用户。来源。业内人士推荐新收录的资料作为进阶阅读