Hi Larry
Yes, there is a inverted luminance mask inside ACDNR. You can modify some parameters of it, and preview the effects. For example, you may disable the first 2 wavelet layers of the mask, to obtain a smoother image. (BTW, ACDNR's algorithm has a powerfull edge detection algorithm that in most cases makes innecesary to use a [inverted] luminance mask... but, of course, since SNR depends on luminosity, is always a good idea to help the process and use it).
There are more processes that includes such kind of masks internally... ExponentialTransforms, UnSharpMask, etc. So far, HDRWT is the only process that uses a non-inverted mask, i.e. it protects shadows instead of highlights.
Hi Jack
In fact, creating a mask like the one used by ACDNR is quite simple. Just extract the luminance, then adjust it with HistogramTransform, and finally use ATrousWavelets to smooth it (disabling some layers).
A more refined mask generation process will be included very soon, following Juan's design for a deringing support in the Deconvolutions process. It will be a quite easy to use, but very powerfull way to design star masks.