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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.

Normalized data

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(@pcyvr)
Brown Dwarf
Joined: 6 years ago
Posts: 5
Topic starter  

After calibrating and normalizing a stack of subs, I opened one of the subs and the "l-c-r-normalised" view.  I'm not sure what I'm supposed to see (haven't been using APP for long) but was surprised by the bands of different colours running across the image.  Can someone confirm if this is expected?  I didn't see any trace of these bands in the final integration (also attached). 

SADR l c r normalised St
Sadr lpc cbg St DeNoise small

 


This topic was modified 6 years ago by pcyvr

   
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(@Anonymous 174)
Joined: 9 years ago
Posts: 5702
 

I'm having trouble seeing the first picture, could you try uploading it once more?



   
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(@pcyvr)
Brown Dwarf
Joined: 6 years ago
Posts: 5
Topic starter  

I just updated the original post.  Thanks!



   
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(@Anonymous 174)
Joined: 9 years ago
Posts: 5702
 

Thank you! Ok, so that doesn't look familiar to me. It should be the linear, calibrated, registered and normalised mode. I guess you had all calibration files  etc. loaded?



   
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(@pcyvr)
Brown Dwarf
Joined: 6 years ago
Posts: 5
Topic starter  

I had a MasterBias, MasterDark and BPM loaded.  I think I've narrowed things down.  If I select HaOIII-Color for the algorithm at Step 0 and Bayer/XTrans Drizzle for the integration mode in Step 6, I get stripes on the normalized data...

SADR RAW 16 1x1 300s 014 St HaOIIIColor BayerDrizzle

But selecting HaOIII-Color at Step 0 and Interpolation for the integration mode in Step 6, everything looks OK...

SADR RAW 16 1x1 300s 014 HaOIIIColor NoDrizzle


   
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(@Anonymous 174)
Joined: 9 years ago
Posts: 5702
 

Ah, thanks for testing that. That might be an issue and I'll forward that to Mabula.

edit: Just had a discussion and this is in fact normal. It may not be super informative, but it shows the drizzling in effect per frame basically. The fact that some regions have less data is exactly why drizzling also causes a bit more noise. That's how the algorithm works and you'll get different patterns when you change the droplet size for instance. I don't use it often and never really tried this view in particular, which is why I didn't recognize it. 🙂



   
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(@pcyvr)
Brown Dwarf
Joined: 6 years ago
Posts: 5
Topic starter  

Thanks so much for looking into this.  Good to know that this is expected behaviour.  



   
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