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Anti-Aliasing Perlin Noise

Anti-Aliasing Perlin Noise. Ian Stephenson NCCA, Bournemouth. Anti-Aliasing Techniques. SuperSampling Easy Slow Frequency Clamping Inaccurate Difficult for User. Integration of Noise. “can’t be done” Calculus is Hard How does it work anyway?. 1D Noise. Gradient Noise. 1D Noise.

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Anti-Aliasing Perlin Noise

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  1. Anti-AliasingPerlin Noise Ian Stephenson NCCA, Bournemouth

  2. Anti-Aliasing Techniques • SuperSampling • Easy • Slow • Frequency Clamping • Inaccurate • Difficult for User

  3. Integration of Noise • “can’t be done” • Calculus is Hard • How does it work anyway?

  4. 1D Noise • Gradient Noise

  5. 1D Noise • Gradient Noise • Wavelets

  6. 1D Noise • Gradient Noise • Wavelets • Zero outside support (1) • Sum to zero

  7. 1D Noise • Gradient Noise • Wavelets • Zero outside support (1) • Sum to zero • Easy to Integrate

  8. 1D Noise

  9. 2D Noise • Wavelets arranged • in a grid • Corners, just like 1D case • Also consider the edges

  10. 2D Noise

  11. Edges • Wavelets don’t sum to zero • Edge Summation rather than integration

  12. Bringing it together

  13. Implementation • DSO Shadeop in PRMan • val=Inoise(u,v,du,dv); • assert(floor(f)+1 = floor(f+1)); • int ix=floor(x); • float fx=x-ix;

  14. Examples

  15. Conclusion • AA of noise by Integration is possible • Not a panacea but a tool. • Can produce better results than FC

  16. Anti-AliasingPerlin Noise Ian Stephenson NCCA, Bournemouth www.dctsystems.freeserve.co.uk

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