About Astro Pixel Processor

Astro Pixel Processor (APP) is being developed by Mabula Haverkamp (drs. M.Sc. E.M.W.P. Haverkamp) who has a doctorandus and Master of Science degree in Astrophysics from the University of Utrecht, 2004.

BBC Sky at Night First Light Review by Sara Wager
BBC Sky at Night Magazine First Light Software Review by Sara Wager. Click on the badge to visit Sky at Night Magazine. Click on this text to download Sara’s review in PDF format.

Mabula uses current scientific insights to develop APP besides developing and creating new innovative feautures and algorithms like it’s unique debayer algorithm Adaptive Airy Disc, Local Normalization Correction and fully automatic N-View mosaics.

APP couldn’t have been possible without extensive help and feedback from the astrophotography community worldwide and it’s future development path will be largely dependent on input and support from the community.

One of the main goals in the development of APP, is to make a complete Deep Sky Image Processing application that maintains ease of use while automatically using the most advanced algorithms to provide excellent results without the need to tweak dozens of parameters.  APP will give very good results with default parameters on a wide range of datasets.

Astro Pixel Processor 1.068 showing a luminance light frame of the Helix Nebula.
Astro Pixel Processor 1.068 showing a luminance light frame of 300 seconds of the Helix Nebula. The data was shot with the T32 telescope of iTelescope.Net at the Siding Spring Observatory in Australia.

The diversity of datasets from all users in the Deep Sky imaging sphere is huge and this is the main reason that explains, why it is very difficult to make an application that simply works on all datasets. And, at the same time, gives excellent results straight out of the box. 

By focussing in development on this particular goal, APP is now being used from absolute beginners in Deep Sky astrophotography to professional astronomical institutes around the world. APP is easy to work with and it’s results are very competitive as a lot of APP users will testify.