Try increasing gamma if dark sections aren't distinguished

Try increasing gamma if dark sections aren't distinguished

Wednesday, January 24, 2024

huge solar prominence 1/10/2024

prominence 1/10/2024 21:11.3 UTC (1:11 PM local)

working from home thanks to covid, saw a medium size prominence with a thick short/wide T-shaped structure below it, very bright in the morning.  knew something dynamic was happening...brought my grab and go out at lunch and saw this huge prominence.  later looked like medium prominence with an extension shooting out.  happy to catch a glimpse of what was obviously a very dynamic process.  

Sun Ha 1/10/24 composite (exclusion mode)

Sun Ha 1/10/24 composite

Sun Ha 1/10/2024 21:17.4 prominences

Sun Ha 1/10/2024 21:15.6 full disk double stacked

Sun Ha 1/10/2024 21:19.9 late prominence

Prominence 1/10/24 21:10.0 to 21:20.4
short animation of arch
10 minute pause
short animation of  linear extension


Image details:
Lunt 60/50 double stacked B1200 [later images single stacked]
manual guiding with alt-azm mount
zwo ASI 174MM
20 second captures
best 20 frames

close up of prominence at top of page upsampled 1.5x

East Bluff, CA
1/10/2024
21:10-21:20 UTC
1: 10 PM to 1:20 PM Local

the animation was a challenge due to differing exposures and filters (double vs single stack) as well as field rotation.  

My circa 2010 lunt solar scope had developed a tiny usable field.  finally decided to "look into it" and found the blue blocking filter almost entirely covered by rust

10 bucks for a new blue blocker
and i've got a big clear field again 😎



Thursday, January 11, 2024

AI meets Jupiter

 Warning: boring details regarding planetary image processing ahead.  

Planetary imaging is best done these days with a web cam capturing short video segments with as many frames as possible.  software then combines the sharpest frames, discarding frames distorted by atmospheric turbulence.  the "stacked" image is that further sharpened.  too much sharpening produces unsightly artifacts enhancing noise inherent in the imaging process, rather than fine detail.  too little sharpening leaves a blurry image.  recently "AI" techniques have been used to sharpen images or "denoise" sharpened images.  the results have been very impressive, but controversial.  

Here's an image of jupiter with very conservative sharpening.  the image is nice and smooth, but blurry:

Jupiter 12/16/2023 05:20 UTC

next up is an image with aggressive sharpening applied.  fine details are more evident, but there are clearly sharpening artifacts, sometimes referred to as "noise":  


next a conventional "denoise" has been applied, removing the artifact, blurring the image slightly, but preserving some of the sharpening for a smoother sharpened image:


here's what topaz denoise AI did to the sharpened image:


the image is far more aesthetically pleasing than the others, both silky smooth and razor sharp.  this is what has generated the controversy.  there are 2 main objections:

1. the image is too smooth.  
-personally i think this is silly. hubble images of jupter are smooth and sharp at this scale, why not mine?  

2. the AI generates structures that are not real.  
-now this is a problem.  a number of advanced imagers have demonstrated AI processed images with structures that look real, but aren't actually there.  pretty damning criticism, thus all imagers submitting images for scientific work are avoiding AI processing.  i think you can make the case that the false AI structures are the result of pushing the AI processing too far, but now that the objection has been raised, AI processing is widely condemned in the planetary imaging circles.  

Image Details:

i'm submitting images to ALPO so now include image detail in the frame for the submission.  


cloudy nights thread on the topic--mostly civil, only one post was banned (but you can still see it's residue)