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:
63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54
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公式： f(x)=max(0,x)
We have picked out six that have never been on display. You can see where they were found on the HS2 route map below - then scroll further down to see the objects and read about their history.