Wavelet noise

The basic algorithm for 2-dimensional wavelet noise is as follows:

• Create an image, $R$, filled with uniform white noise.
• Downsample $R$ to half-size to create $R^\backslash downarrow$, then upsample it back up to full size to create $R^\{\backslash downarrow\backslash uparrow\}$.
• Subtract $R^\{\backslash downarrow\backslash uparrow\}$ from $R$ to create the end result, $N$.

This results in an image that contains all the information that cannot be represented at half-scale. From here, $N$ can be used similarly to Perlin noise to create fractal patterns.

• [http://graphics.pixar.com/library/WaveletNoise/paper.pdf Wavelet Noise Paper] at pixar.com.

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Category:Computer graphics

Category:Noise (graphics)

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