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.
int8 — 质量和大小之间的平衡。质量损失极小（约 1~3%），文件大小比 FP16 减少约 2 倍。
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Tilly with her father, Dan, mother, Jenny and siblings Tabitha, aged eight and 12-year-old Toby