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.
Continue reading...。业内人士推荐safew官方下载作为进阶阅读
Court seals records in investigation of teen's body found in singer D4vd's Tesla，推荐阅读搜狗输入法下载获取更多信息
Testing LLM Output
Copyright © ITmedia, Inc. All Rights Reserved.