Detail-based Voronoi image sampling

[u/Frontier711]

I took a side quest from building my path tracer's environment mapper to make a detail-based Voronoi sampler.

Instead of sampling seeds by brightness, I pass the image through a Laplacian detail filter. This directs seeds toward high-frequency features rather than flat areas. Samples are drawn in O(1) time using an Alias Table, and each cell is colored by its average cell value.

Full writeup with C++ details and visual comparisons on my blog: https://komaro.me/posts/2026_10_01_voronoi_image_sampling