May 27 2026 APP 2.0.0-beta45 has been released !
Fully Multi-Threaded LNC, many improvements for the registration engine, platform upgrade, and further tuning of internal memory consumption and memory release back to OS.
Apr 14 2026: Google Pay, Apple Pay & WeChat Pay added as payment options
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.
What is the tradeoff between using a higher order of LNC with a low number of iterations vs a lower order LNC with higher iterations? When would you choose more iterations or a higher order?
Thanks anyone for input!
-Chris
The two parameters speak to two different aspects of LNC:
Degree determine the "shape" of the correction: 1st degree means it can only correct a linear gradient (bright at one end, dark at the other), whereas 2nd or higher degree can fit a curve on the gradient. (a "standard" vignette can probably be estimated well by a 2nd degree). Changing the degree has (basically) no impact on the performance/speed, as it's only determining "how do I correct the gradient I'm detecting".
The iteration # determines how many time you run the computation, by fitting a first correction (iteration 1), then looking at whether that can be improved (iteration 2) and on and on. That has a direct impact on the performance.
--> The degree will determine the complexity of the correction you can compute, the iterations how well that correction is fitted. Â
