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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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，更多细节参见safew官方下载
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RCS 信息的端到端加密扩展到 iPhone 与安卓设备之间，此前仅 iPhone 之间可用，但需运营商支持；。关于这个话题，快连下载安装提供了深入分析