Removing bad column
 
Share:
Notifications
Clear all

June 24 2026 APP 2.0.0-beta46 has been released !

Improved internal memory configuration (lower ! memory usage), fixed beta45 startup issue, fixed Set Save Directory & 2-panel mosaics.

May 27 2026 APP 2.0.0-beta45 has been released !

Fully Multi-Threaded LNC, many improvements for the registration engine, platform upgrade, and further tuning of internal memory consumption and memory release back to OS.

Apr 14 2026: Google Pay, Apple Pay & WeChat Pay added as payment options

Update on the 2.0.0 release & the full manual

We are getting close to the 2.0.0 stable release and the full manual. The manual will soon become available on the website and also in PDF format. Both versions will be identical and once released, will start to follow the APP release cycle and thus will stay up-to-date to the latest APP version.

Once 2.0.0 is released, the price for APP will increase. Owner's license holders will not need to pay an upgrade fee to use 2.0.0, neither do Renter's license holders.

 

Removing bad column

2 Posts
2 Users
1 Reactions
1,653 Views
(@oscar-keet)
White Dwarf
Joined: 6 years ago
Posts: 12
Topic starter  

Hello. Hopefully someone can give me some advice.

I have a Trius SX694c camera. It's quite a nice camera, but during it's use it has been damaged (probably) by some high energy cosmic ray.

This damage creates a off-color column in my photographs, as you can see in the example.

 

Now my question is, if it's possible to have this column automatically removed? I've tried some "hot column", "bad pixel" settings, but they do not seem to help.

Does anyone have a solution?

 

afbeelding

 


This topic was modified 5 years ago by Oscar Keet

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

Tricky one as it seems quite faint. This would be something you should tackle with the hot pixel kappa in tab 2. To be able to see if it works per sub, you load in a single sub, load your master-calibration files, switch that on and select "l-calibrated" on top of the image viewer. Then you can see if it removes it, you can then experiment by changing the kappa to be more aggressive and check again. This is a faster way to see if it works then first integrating everything. What also would help is to dither aggressively during data capture, like 10 pixels.



   
Oscar Keet reacted
ReplyQuote
Share: