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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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For Moody’s Ratings, the global AI productivity boom will be worth 1.5% annually, averaged out across 106 countries, according to a Thursday research note. But in the case of economic growth, governments might have to spend money to make more of it down the line. AI could have significant upsides for productivity, but countries will first have to navigate a complicated and expensive landscape as they create digital infrastructure and support disrupted workforces, Moody’s analysts warned.
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