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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Google promises the new image generator will have more advanced world knowledge pulled from the Internet by the Gemini 3.1 LLM. This apparently gives it the necessary information to render objects with greater fidelity and create more accurate infographics. The days of squiggly AI text were already ending, but Google says Nano Banana 2 has Pro-like text accuracy in image outputs.
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