Another way to look at our threshold matrix is as a kind of probability matrix. Instead of offsetting the input pixel by the value given in the threshold matrix, we can instead use the value to sample from the cumulative probability of possible candidate colours, where each colour is assigned a probability or weight . Each colour’s weight represents it’s proportional contribution to the input colour. Colours with greater weight are then more likely to be picked for a given pixel and vice-versa, such that the local average for a given region should converge to that of the original input value. We can call this the N-candidate approach to palette dithering.
yinglunz (@yinglun122)
，这一点在51吃瓜中也有详细论述
Мерц резко сменил риторику во время встречи в Китае09:25
'Taking in my grandchildren has left me penniless'，推荐阅读搜狗输入法下载获取更多信息
除传统数据同步外，DataWorks 支持 AI 场景下的 Embedding 向量化数据入湖，可将大模型生成的向量特征直接写入 Iceberg/Paimon 表，为后续向量检索与推荐系统提供高质量输入。同时支持 Flink 实时流式入湖，实现从 T+1 到近实时的数据流转。，推荐阅读旺商聊官方下载获取更多信息
// console.log(nextGreaterElements([])); // []（空数组）