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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:
，这一点在im钱包官方下载中也有详细论述
long-running queries this is not an issue as the compilation time is easily amortized, but for small queries it can
was a turn-key product line for exactly this use.
In Modular Design higher-level modules shouldn’t depend on lower-level modules. That’s because abstract modules shouldn’t be limited by concrete solutions. Another reason is testability - modules that have direct dependencies to lower-level modules are harder to test.