Mar 28 2026 APP 2.0.0-beta40 will be released in 7 days.
It did take a long time to have the work finished on this and it will have a major performance boost of 30-50% over 2.0.0-beta39 from calibration to integration. We extensively optimized many critical parts of APP. All has been tested to guarantee correct optimizations. Drizzle and image resampling is much faster for instance, those modules have been completely rewritten. Much less memory usage. LNC 2.0 will be released which works much better and faster than LNC in it's current state. And more, all will be added to the release notes in the coming weeks...
Update on the 2.0.0 release & the full manual
We are getting close to the 2.0.0 stable release and the full manual. The manual will soon become available on the website and also in PDF format. Both versions will be identical and once released, will start to follow the APP release cycle and thus will stay up-to-date to the latest APP version.
Once 2.0.0 is released, the price for APP will increase. Owner's license holders will not need to pay an upgrade fee to use 2.0.0, neither do Renter's license holders.
I saw this interesting video about the analysis of a flat panel
In a nutshell you take a flat image and divide it by its 2nd degree Polynomial Surface Fit, then by looking at the histogram, specially the standard deviation vs the mean will give you an idea how "flat" your panel really is.
My flat panel is illuminated from the sides, which makes it darker on the center, you can only notice this with very slow shutter speeds. This specific case of vignetting effect is a property of the panel and not of my image train, my image train will introduce a second layer of vignetting.
My panel light source is even to around 1.1%.
As this "second" layer of vignetting is only present when I use my flat panel a not on my data, is it possible to correct for it and leave only the vignetting from the imaging train ?
