The Kuwahara Filter, Explained Through Comparisons
A six-minute graphics lesson builds from noisy images to a four-sector filter, then pivots into a playful tutorial and candid flaw.
By @Acerola_t for Acerola_tRuns 18:15

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Why it works
The visual lesson repeatedly tests one image: noise at 1:13–1:22, failed blurs at 1:43–2:18, and the four-sector method at 3:09–4:10. After a 12.44-second speech gap, magenta flashes and an exaggerated tutorial reset attention at 4:17–4:26, while the result at 5:21 is immediately qualified at 5:30. The 0:54.8–1:05.8 replay peak coincides with concrete noise examples.
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