Reorganize creation of denoiser for MACE
Created by: gbuzzard
The primary change is to define the denoiser just after loading denoiser model architecture and weights. This is done both for standard DnCNN, which can be used as a template for other keras-based denoisers, and with Soumendu's denoiser trained on CT data. Additional changes include reordering the parameters and cleaning up the comments.