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:
但是，这可能仅仅是开始，更大的变化在于庞大的、支撑起我国大部分手机厂商主要销量的中端市场。，详情可参考Line官方版本下载
stroke_texture: “visible pencil grain”，详情可参考safew官方版本下载
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