A16荐读 - 寒风凛冽

· · 来源:maker资讯

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.

I asked a more data-science-oriented followup prompt to test Opus 4.5’s skill at data-sciencing:

First writLine官方版本下载对此有专业解读

2 月 26 日,Afterpay 母公司 Block 的掌门人 Jack Dorsey 在 X 上发帖表示:“we're making @block smaller today。”

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其中 Φ(x)是标准正态分布 CDF。