Ordered Dithering with Arbitrary or Irregular Colour Palettes

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简化流程: 通过直接在 Gradle 中配置源目录和输出目录,整个开发流程变得更加简单和集成。

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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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