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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.
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“它不依赖预设程序，能真正自主感知、决策和行动。”在位于北京海淀区中关村西区的银河通用公司，创始人王鹤说，“加强创新，让人形机器人成为真正的生产力。”