Hi, I found a software (http://relaunch.piccureplus.com/) which goal is to apply adaptative deconvolution to pictures in order to remove blur and noise. The result is quite amazing, without halos.
Adaptative deconvolution is a method developped initially for optics-equipped telescope systems and wide-field microscopy. You can find a paper here : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3166524/ and a Github repository (https://github.com/erikhom/aida) with the sourcecode of AIDA 1.3, the opensource Python implementation written by the authors of the paper. I have not been able to make this code work, it's not really packaged but rather a collection of scripts instead, so I'm trying to implement a more simple version of the algorithm from the paper, as a prototype for a future Darktable module. However, even if I have a general understanding of probabilities and signal processing, this is not my specialty and I'm quite slow. I know some of the developpers here are PhD in physics and maths, maybe they could take a look. Have a good day, -- *Aurélien PIERRE* aurelienpierre.com <http://aurelienpierre.com> ------------------------------------------------------------------------ ___________________________________________________________________________ darktable developer mailing list to unsubscribe send a mail to darktable-dev+unsubscr...@lists.darktable.org
