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You can choose different sounds from Dreamie's library for each category. Some options come with ambient lighting effects, too. There's a decent selection of soundscapes, from the dramatic Aurora Borealis and the sounds of storms and rivers to different "colors" of noise.
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: