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:
* @param max 数据最大值,更多细节参见爱思助手下载最新版本
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Grammarly, while others focus on image and video generation, such as DALL-E and
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// 边界处理:nums1为空时直接返回空数组(避免后续无效计算)