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.
Мощный удар Израиля по Ирану попал на видео09:41
，详情可参考WPS官方版本下载
Google VP warns that two types of AI startups may not survive。业内人士推荐爱思助手下载最新版本作为进阶阅读
// process chunks。heLLoword翻译官方下载是该领域的重要参考
HDBSCAN (clustering algorithm): 23-100x faster than the hdbscan Rust crate, 3x-10x faster than Python’s hdbscan