2026-10-09 APP 2.0.0-beta48 has been released !
This is mainly a bug fix release for the reported bugs in beta47. In addition it has a significant User Interface performance improvement noticable when you need to process 1000s of images in APP.
2026-10-03 APP 2.0.0-beta47 has been released !
This is a very big release... many code optimizations/rewrites, many parts of APP are much faster and more precise, especially star analysis and registration are much faster ! Big mosaics will go much faster 🙂
And we introduce a new preview filter, which includes the new Adaptive Deep Sky Stretch and a General Levels Stretch, this has been long over due. The old preview filter (the panel on the right side to stretch and preview your data) has not been updated for a couple of years and it is a critical part of any APP session.
Adaptive Deep Sky Stretch or ADSS is a much more intuitive stretch algorithm. It is also color preserving (which is a great new addition in itself ! ) which means that the highlights are no longer bleached, color is maintained from the linear data while stretching. You can simply stretch your data using the sky background level and signal width sliders which work much easier and more intuitive. You no longer need to fiddle with the old complicated sliders with zoom buttons. All the zoom buttons for the sliders are made redundant. And you can enter slider values in the slider value fields yourself. I will make a youtube video in the coming days to explain and fully introduce ADSS. Once the video is ready, it will be highlighted on the forum.
RGB Combine upgrade !. The RGB Combine Tool has been rewritten mostly. The tool is faster and easier to use and most importantly, the Luminance slider to inject a luminance channel or channels into the RGB composite is now working correctly. It no longer bleaches the RGB colors. Combined with the new ADSS preview, you will get much better and easier great composites with great color! I will also explain this in a new youtube video.
Just a quick question, with some fear off getting a ‘telling off’ lol.
on the up and down scaling algorithm (not drizzle), i was just wondering what algorithms are used.
I have seen a number in other packages, using different ones e.g bilinear, B spline, Catmull Rom etc,
and of course there is now the Topaz GigaPixel.
just curious thats all, no other reason.
Oh, I hope I didn't give that impression. Never hesitate to ask anything, that's why we're here. 🙂
For the scaling itself, I'll have to ask Mabula, I've passed your question on.
@vincent-mod hehe not at all, i thought i may be told off for implying app algorithms may be ‘simple’ compared to say topaz etc.
You have been nothing but helpful and courteous my friend!
Fjew. 😉 No we never respond like that, there is always a mix of levels in knowledge and we're totally fine with that as we love that everyone is simply enjoying the hobby and I love to (try) to explain things. 🙂
Just a quick question, with some fear off getting a ‘telling off’ lol.
on the up and down scaling algorithm (not drizzle), i was just wondering what algorithms are used.
I have seen a number in other packages, using different ones e.g bilinear, B spline, Catmull Rom etc,
and of course there is now the Topaz GigaPixel.
just curious thats all, no other reason.
Hi Andy @andybooth,
If Drizzle is not used, then the data is resampled using the chosen data interpolation/resampling filter. That filter is responsible for the scaling then as well. The registration parameters are a 3x3 matrix (when optical distortion correction is not used, otherwise more complex) and additional upscaling/downscaling is simply multiplying that matrix.
Please let me know if this is clear.
Mabula
thank you Sir!
As a new user, I am finding the learning journey very satisfying, and my images are coming out a definite step up from my previous ones using other well known software. Really happy with my purchase.
My only ask so far is a clone of the pixinsight muredenoise script, which is applied to the linear image straight after integration, and uses variables measured from flat and bias files, and the algorithm using for registration - all of which app knows! This really works great and is a good first step on the noise reduction ladder.
not withstanding, thanks for making APP available, it really is a great package.
cheers
andy
