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From the moment I completed Google TV setup and started watching the TCL X11L I was amazed. I could immediately tell it's the brightest TV I've had in my home, but it was the color vibrancy that I found most impressive. The colors we're all most familiar with - skin tones, the sky, green grass and trees - all look as close to realistic as I've seen on a TV. And with the color vibrancy it looks staggeringly good.
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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