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.
DisclaimerAll code samples represent recreations of actual extension versions or are taken directly from the open-source V1/V1.2 releases. The V3 hijack code shown is the actual production code. No HotAudio server infrastructure was accessed, modified, or interfered with at any point. All techniques demonstrated operated exclusively on the client side, within the user’s own browser.
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