June 24 2026 APP 2.0.0-beta46 has been released !
Improved internal memory configuration (lower ! memory usage), fixed beta45 startup issue, fixed Set Save Directory & 2-panel mosaics.
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.
Hi Dirk,
These are definitely bad (hot) pixels. By far, the best way to remove these in calibration is by using a bad pixel map:
You'll need a couple of flats (let's say 10) and some darks (use 20-50 ) of exposures of a couple of minutes. (longer exposure lengths for the darks will make a higher quality Bad Pixel Map.)
The Bad Pixel Map is much more efficient in removing bad pixels than using a Master Dark from a set of darks since
- hot pixels don't behave linearly, so a Master Dark will (very likely) never correct all bad pixels perfectly.
- the bad pixel map won't introduce noise since it corrects the bad pixels by interpolation from the surrounding "good" pixels.
I have placed an example of a Bad Pixel Map correction in the creating-a-bad-pixel-map post:
"An example of Bad Pixel correction using a Bad Pixel Map:
a Canon CR2 light frame of 600s exposure length, ISO200, Canon 450D (courtesy of Scott Rosen) corrected with a Bad Pixel Map created out of 100 darks of 600 seconds exposure length.
A crop of the sensor is shown, showing plenty of bad pixels which we want to remove.
Top: uncalibrated   Bottom: calibrated
Left: bilinear debayering and no Linear Background Neutralization
Middle: bilinear debayering and Linear Background Neutralization
Right: Adaptive Airy Disc debayering and and Linear Background Neutralization (notice the dramatic increase in sharpness and better star shapes and change of colors due to AAD debayer)."
Let me know if you can get rid of these bad pixels 😉
Mabula
Hi Mabula,
thanks. I try too make darks for a Bad Pixel Map. In this case i used dithering, without darks.
Greets Dirk
Hi Dirk,
Dithering combined with an outlier rejection filter (kappa clipping) while integrating should help in removing the bad pixels, but if you can get rid of these in the calibration fase without introducing noise than that's always better.
If you create a good and effective Bad Pixel Map, you'll enjoy this for a long while 😉
Regards,
Mabula
