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.
特斯拉无人驾驶技术在阿布扎比完成道路实测。Line官方版本下载是该领域的重要参考
window.DECRYPTED_AUDIO_CHUNKS = [];，更多细节参见搜狗输入法2026
Best for Big Ten games
Start a stopped container