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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:
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Actual 48x48 greyscale renders from confusable-vision. Left character in each pair is the confusable source (Cyrillic or Hebrew); right is the Latin target. Can you tell which is which?，详情可参考WPS下载最新地址
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