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.
bingbangboom-lab
，这一点在谷歌浏览器【最新下载地址】中也有详细论述
因为创作这条路，只属于那些无法以别的方式生活的人。。业内人士推荐快连下载安装作为进阶阅读
Author(s): Eyasu Tadese M., T.E. Ada, K.N. Nigussa, Cecil N.M. Ouma
But 82 pairs are pixel-identical