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.
Mabula says: The most efficient and most robust way to register any data set as a mosaic is to first integrate the individual mosaic panels.
My questions: 1. What are panels? 2. How to make panels?Â
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@ary-slingerland In a 2x2 mosaic, there are 4 panels. You make panels by taking subs for each part (i.e. each panel) of the mosaic. Then, according to Mabula's advice, stack the subs of each panel separately and then combine the 4 panels into a mosaic.
It is of course possible to create mosaics of different shapes, for instance 2x1 or 1x2. It depends on the field you want to image and the imaging gear you have.
HTH, Wouter
Ok, thanks a lot, so in the above directory x1-y1 is a panel and so is x 2-y1, x3-y1 and x3-y2 I received the images as Premium images from iTelescope. But not all directories are as clear as this one ....Â
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Making panels now - Registration mode mosaic goes very slow..... iMac M1, CPU8 usin 07 threads - is this normal?
@ary-slingerland It depends on how you do it. If you first integrate each panel separately, as Mabula advices, then the registration of the panels when creating the mosaic as the second step is fast. If you load all subs for all panels in one go and let APP process them, then registration may be slow depending on the amount of subs and panels. This is exactly why Mabula recommends to first stack the panels separately.
It succeeded now, i have one panel ready, x3-y3, but only 16 subs, but it works 😉 Making this panels i put registration mode on mosaic too - is that correct?
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@ary-slingerland For integrating the individual panels you should leave all settings to their default values. Once you have all panels and are ready to create the mosaic, you set all config options to the mosaic values. Having said that, setting APP to the mosaic values when integrating a single panel probably doesn't make a difference.
Dear Wouter, thank you very much for your help!
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i proudly present my second mosaic try, LMC from Premium images of iTelescope
Please your comment! And Wouter van Reeven thanks again for helping me out
i couldn't upload the pic - 3MB
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