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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:

TCL

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There are many topics we haven't covered: interrupts, exceptions, task switching, and seldom-visited corners like call gates. I'll try to address them in future posts.

Josh Dury Photo-Media,更多细节参见同城约会