Me too
Jokes apart, removing stars is a topic that interests me a lot. We have being doing this with different methods for a really long time (I remember a post by Wei-Hao in the APML, quite a lot years ago, that started this, at least from my perspective). I've being reading a lot these days about multiscale and HDR problems, and I have in mind a few algorithms that may help finding a good decomposition of stars and the image. My idea at the end is to be able to separate noise, stars and structures at several scales.
So, this is on my medium-term do-to list. Right now I'm working on incorporating poisson data models to the deconvolution problem, and hopefully achieve a better ring suppresion (with the tgv regularization). TGVRestoration right now works pretty well for gaussian noise (works wonderfully with planetary or lunar data), and have some deringing schemes included, but I'm aiming for something much better for deep sky targets.
