> This is post 0.16 material IMO. I've been working on a blurring
> algorithm to eliminate noise (works, no UI yet) and discovered
> that it is only possible to do well after white balance but before
> interpolation/shrinking. The reason is that the channel noise levels
> are modified by the WB multipliers. I think wavelet denoising should
> have the same issue.

The reason wavelet denoise should be applied before WB is exactly
because WB multiplier change the noise levels. The noise levels in
different channels are independent of color and should be the same for
the raw data, before WB.

Udi

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