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Fast 2d brown/pink noise generation?

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Dear NG,

I'm looking for a fast way to produce 2d-noise images with 1/f or 1/f^2
spectrum. I currently generate the noise via inverse FFT, but since I
need lots of data (~10^7 for a monte carlo simulation) it needs to be
really fast. Does someone know a faster way than my approach?

- Dimensionality is between 20x20 and 100x100
- The spectrum doesn't need to be exactly pink/brown, an approximation
is fine.
- Implementation in either matlab or scientific python (LAPACK anyway)

Thanks a lot for hints, literature, algorithms!

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