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Antialiasing

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  Visual artifacts -  Jagged lines and edges - High frequencies appearing as low - Small objects missed - Texture distortions - Strobing and popping - Backward movement

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  Two basic stages - Sampling - Reconstruction

  Assuming discrete sampling

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  Shannon's sampling theory (1D): - A band limited signal f(t) with cut off frequency wF

may be perfectly reconstructed from its samples f(nT0) if 2π/T0 >= 2wF

- wF == Nyquist limit   Alternatively:

- A signal can be reconstructed exactly from samples only if the highest frequency is less than half the sampling rate

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  Two samples of the same sine wave

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  Regular supersampling   Jittered supersampling   Adaptive supersampling   Stochastic sampling

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  Reconstruction: recreate a continuous signal from a set of samples

  Tasks of reconstruction filter - Remove extraneous replicas of signal spectrum - Pass the original signal base unchanged

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B-Spline Filter

Mitchell-Netravali Filter

Gaussian Filter

Catmull-Rom Filter

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