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One dimensional noise | Patterns | Computer animation | Khan Academy
Introduces noise as a function that looks random but stays smooth, using a one-dimensional example before the pattern is extended to a full surface. Distinguishes structured noise from pure randomness, the key idea behind Perlin noise.
Khan Academy Labs · 3 min · Advanced · ANI · Animation · 2016
What you take away
- Explain why smooth, structured noise looks different from a sequence of pure random values.
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