不过,有些时候,适度超前的想象力,会与既有法律法规、监管制度等产生冲突。如何处理好这类复杂的情况?不是一味否定,而是以包容审慎的态度看待新事物、新业态,如此,创新才有试错空间。
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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