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.
Three nights ago I spent 2.5 hours on the object Pleiades. Image processing is simple and beautiful as usual with APP. Uneven background in the left side of image is probably due to moonlight or bad flats (master flats were created month ago). I used Photoshop Lightroom and Nik software for noise reduction and fine tune contrast in the final image.Â
Gears: QHY294m, Optolong LRGB filters, William-Optics RedCat, iOptron CEM25P
Acquisition: L=2minx40, R=2minx15, G=2minx15, B=2minx15
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Lovely result, no mixing of long and short exposures? Or is the sensor so amazingly good at dynamic range? 🙂
Interesting that you used Nik (Dfine) for noise reduction. Completely forgot the option myself. Thanks for the reminder. Needless to say: I like the result.
@vincent-mod
No, I did not use HDR technique with this image. I just combined RGB without L first, and added L later. In addition, the camera sensor is much better than my previous 163m.
This is not my standard workflow for noise reduction. The result of Define2 is somewhat similar to TGV noise reduction in PI, but a bit softening details of the image.Â
