PIPP is a Windows application designed for pre-processing planetary
images before stacking them with image stacking software such as Registax. PIPP's main purpose is to crop each image frame and select only the best quality frames to reduce the memory and processing requirements of the stacking software. For example, this would allow the best 1500 frames from a 7200 frame AVI (2 minute AVI at 60 fps) to be cropped ready for stacking by Registax. On my PC, Registax does not handle AVI files with that many frames but can easily handle 1500 pre-processed bitmap files so this is very useful.
PIPP was originally written to speed up the my own processing of the multitude large AVI files that that each
planetary imaging session seems to generate. Now that PIPP has reached the point where it does actually speed
up my processing workflow I decided to make it available to others to see if they find it useful and maybe give a little back to the astronomy community.
PIPP's functionality has been and will continue to be extended over time.
Current supported platforms:
Native Linux and Mac OS X versions of PIPP are planned, though are not actively being worked on just yet.
Thanks for Martin Lewis (http://www.skyinspector.co.uk/) for all his help with testing PIPP, his feedback and suggestions have been invaluable.
Thanks also to Anthony Wesley for permission to use the quality estimation source code from his Ninox planetary imaging software (http://www.acquerra.com.au/astro/software/ninox/) in PIPP. This is the basis for PIPP's quality estimation algorithm. In truth, although PIPP has moved on quite a bit now, it was originally inspired by Ninox.
Thanks also go to Heiko Wilkens, author of the Lucam Recorder image acquisition software (http://www.astrofactum.de/Astrofactum/LucamRecorder/), for permission to incorporate his proprietary SER video format in PIPP.
Thanks go out to Dave Coffin for all his work on DCRAW and making the code available for others to use. This is the code that enables PIPP to decode almost any camera raw image format.