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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.
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However, getting a Widevine licence requires a licensing agreement with Google. It requires native binary integration. It requires infrastructure, legal paperwork, not to mention, shitloads of money. A small NSFW audio hosting platform is not going to get a Widevine licence. They’d be lucky if Google even returned their emails. Okay maybe not quite but the point is they’re not getting Widevine.，详情可参考heLLoword翻译官方下载
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