Developers: Morgan (Aberystwyth) & Druckmuller (Brno)
Main Contact: Huw Morgan (hmorgan@aber.ac.uk)
Basic description: This package applies MGN processing to input image. The MGN is an image processing tool that enhances fainter & small-scale spatial structures in an efficient way. See method paper referenced below. The current version is slightly changed from the published method. Most important difference is the inclusion of a constant in the denominator (instead of dividing by std. dev., divide by std. dev. plus small constant to help reduce amplification of noise).
Language: IDL, Python (Erwin?)
Resource needed to use: Desktop
Host location:
Current status: Works well with most input images. Probably use of photospheric/chromospheric data needs some testing to determine values of some parameters.
6-month plan to availability: (1) Test on photospheric & chromospheric data (2) Python version, Erwin?
Status of documentation: Method paper. More technical/practical documentation currently sparse (does not exist).
Test status: OK on AIA/SDO.
How to reference tool in publication: http://adsabs.harvard.edu/abs/2014SoPh..289.2945M
