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:
Each finger in its latest hand has four independently controlled joints, which allows intricate movements.
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这种重资产模式在初期投入巨大,但在价格战进入白热化的阶段,它便构成了难以复制的成本护城河。