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.
I am new to both iTelescope and to APP. My first imaging session with iTelescope was using T18 on M81. Some of the calibrated files I received automatically from iTelescope appeared to be damaged when loaded them into APP. The 'damaged' ones where always images taken when the scope did a meridian flip. The images from the East side appeared fine, while the images from the West side appeared damaged. Below are some screen shots: Â
This is an image using red filter from the east side. Looks good.
This next image is from the same session using the same filter from the W side. Looks damaged with no data in the histogram.
Thinking that this was a problem with iTelescope, I contacted their support, and they sent me a screen shot of the rendering of the same image on their computer, which follows, and looks fine.
Clearly there is something strange going on on my end. This strange behavior happens with all W images. I had a session on T24 and the same thing is happening. The W images are all green.
Can anyone help me? I can upload the files if needed.
Thanks.
Thanks Wouter, however Mladen Dugec from iTelescope checked the image and he said the issue was with APP and not with iTelescope. Any chance you can take a look into this? I can upload the two files. Thanks.
Hi Sikander @alexdaryan,
Thank you very much for reporting this. I am aware of the issue and it will be fixed in the next APP release. The issue is in the iTelescope FITS header where maximDL is doing something that is not standard which confuses APP at the moment.
In some frames a BAYERPAT tag will be provided allthough it is no Bayer data at all.
There is an easy work around at the moment so you can still properly process your iTelescope data.
in menu 0) RAW/FITS on the left side, set the Bayer / X-Trans algortihm to no interpolation and all should be okay 😉
Mabula
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Thank you so much Mabula! That worked. I am glad that you are aware of the issue and that there will be a fix in the next release. I am enjoying both iTelescope and APP! I will let Mladen over at iTelescope know about this. Thanks again.
