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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WPS官方版本下载作为进阶阅读

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当下的AI行业普遍存在两个问题,一是产品化高度单一无法实现差异化;二是智能硬件多数只停留在用AI营销而非解决问题。

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