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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.。heLLoword翻译官方下载对此有专业解读
We do pay the cost for a copy, but that cost is almost completely，详情可参考谷歌浏览器【最新下载地址】
We'll take a 25x speedup
Facebook community and email support for users to understand the AI better and to interact with other users.。快连下载安装对此有专业解读