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UPDATE FROM MABULA

I have had a very rough 2 months unfortunately health wise. I was struck 3x in a row with bacterial infections. The second infection occurred  after a routine hospital checkup and I became very sick. I had to rest and take a lot of antibiotics. Once I was recovering and restarting work 1 month ago, I again became sick. The infection was not yet gone, so even more antibiotics and rest was needed. Needless to say, it took a lot of my energy and I needed a lot of rest.

 

Finally, the infection is really gone and my energy is coming back step-by-step now and I have started work again. I am terribly sorry to have kept you waiting for support. I will address all outstanding questions and e-mails step-by step and will be on the forum daily from today.

 

APP 2.0.0-beta47 will come soon as well, a lot of work was already completed before I became very ill, so the release is also nearly ready for you. Beta47 will be much faster actually. Many workflows will be more than 2x faster, mosaics can even be 10x faster than before because registration really received a major boost... all compared to beta46.  Before I release it, I will make sure that everything is working properly and then I will release it.

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(@jehoener)
Red Giant
Joined: 7 years ago
Posts: 28
Topic starter  

Hello.  What does this error message mean?

I ran my color channel integrations through DeNoise AI before combining, and I receive this message when I attempt to open some of them, but not all.  I've renamed them but the problem persists.   Thanks.

error message on opening image after DeNoise AI

 


This topic was modified 6 years ago by Joseph Hoener

   
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(@wvreeven)
Quasar
Joined: 8 years ago
Posts: 2134
 

@jehoener That is difficult to say without more details. What OS are you on? What version of APP? What file type (FITS, TIFF, something else) are you trying to load? Does the error happen when you do not run the files through DeNoise AI? What kind of files are you trying to load (LRGB, Ha, OIII, etc)?

Wouter



   
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(@jehoener)
Red Giant
Joined: 7 years ago
Posts: 28
Topic starter  

@wvreeven  Wouter: 

Windows 10;  APP 1.082; .tiff file; trying to load Ha, L, R, G and B integrations.  I don't get the error when loading the files that have been run through DeNoise AI.  I have instructed DeNoise AI to save the files in the same format as the original images.  Incidentally, I cannot open the DeNoised files in CCDStack, either, so DeNoise AI has apparently modified the files in some unknown way.

 



   
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(@wvreeven)
Quasar
Joined: 8 years ago
Posts: 2134
 

@jehoener I am not familiar with DeNoise AI but it sounds like you want to minimize noise before combining the integrated panels which in general is not a good idea. I’d advise you to first combine and process the panels as much as possible in APP before attempting denoising and other processes. 

On top of that, it looks indeed like the TIFF files get modified such that APP (and apparently other software) cannot handle them. That would also indicate that it would be better to do the denoising as late as possible. 



   
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(@mabula-admin)
Universe Admin
Joined: 9 years ago
Posts: 5379
 
Posted by: @jehoener

@wvreeven  Wouter: 

Windows 10;  APP 1.082; .tiff file; trying to load Ha, L, R, G and B integrations.  I don't get the error when loading the files that have been run through DeNoise AI.  I have instructed DeNoise AI to save the files in the same format as the original images.  Incidentally, I cannot open the DeNoised files in CCDStack, either, so DeNoise AI has apparently modified the files in some unknown way.

 

Dear Joseph @jehoener,

Could you upload a couple of those problematic Tiff files to our server, so I can check exactly what is happening 😉 Maybe I can find a way to make them work.

https://upload.astropixelprocessor.com/

username: upload4

password: upload4

I do agree with Wouter @wvreeven, I would recommend to NOT perform noise reduction when you still need to combine the linear images. Noise reduction will alter the statistics of the data considerably and since noise reduction algorithms behave rather inconsistent between different images (especially different Field of View), the data normalization will probably suffer as a consequence... so I don't really expect the results will be better in the end as well.

Mabula



   
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