The N-closest or N-best dithering algorithm is a straightforward solution to the N-candidate problem. As the name suggests, the set of candidates is given by the closest palette colours to the input pixel. To determine their weights, we simply take the inverse of the distance to the input pixel. This is essentially the inverse distance weighting (IDW) method for multivariate interpolation, also known as Shepard’s method. The following pseudocode sketches out a possible implementation:
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This doesn't mean all maps must be brand new, just from the same batch/pre-calculation period.
tool is a project tool—you must set it up as a new project. Below are a few of，更多细节参见搜狗输入法2026