Bonjour,
G’MIC documentation :
gmic i "henry street quirindi011.tif" +gaussian 10 +convolve_fft[0] [1] +deconvolve_fft[-1] [1] rm[-2,-3,-4]
gmic i "henry street quirindi011.tif" +gaussian 10 +convolve_fft[0] [1] +deconvolve_fft[-1] [1] rm[-2,-3,-4] c 0,255 o test_fft.jpg
Thank you so much, I’ll try that. Do you think it’s best to use the clone tool and heal tools to clean up the picture before applying FFT?
@Lee1 You may clone/heal beforehand; however, it is best to remove periodic artifacts (repetitive patterns) using Fast Fourier. The disadvantage is that you may potentially weaken real structures such as the fence, roof, pant legs and text; and introduce new distortions.
People mostly cover the stars and lines using solid or feathered black circles but I use clone/heal tools because, in attempt to reduce the possibility of introducing new distortions, I try to make the magnitude portion of the decomposition as close to its neighbourhood as possible.
Workflow FFT (polar) decomposition → remove all stars and lines except for central ones → re-composition → observe effect and adjust if necessary
@Reptorian Let’s try a trimmed mean instead. The trimmed median method is a riff off that and may not be as practical. (The earlier sample looks weird probably because I normalized it.)
Thanks very much for your help, the picture looks much better. I’ll try the workflow you mentioned.
@afre Trimmed mean looks so much better despite that artifacts can be noticed at more areas. More details and better shading everywhere.
@Reptorian This version uses the trimmed median’s second finest details scale to guide the trimmed mean’s finest. For a much higher cost, the returns are small.
Thanks again, I’ll give it a shot. Your last picture using polar came up really well.
You misread my post. None of the sample images are FFT-based restoration but rather trimmed median and/or trimmed mean.
This is from FFT restoration. I did this without clone/heal, only covering off-centre stars/lines. As you can see, doing so unfortunately weakens the subjects’ edges as well.
ok got it, thank you for clarification, I’m still learning, but this forum has been so helpful 
I’m working on the same problem. The best result was from the G’MIC “descreen” by Andreas Påhlsson. The preview showed an almost perfect result, but running the filter left vertical-line remnants not visible in the preview?
Here is preview…
@Lee1 Please give FFT restoration a try and report back. If you are stuck along the way, we can give you pointers.
@okieman There is no way around the inaccurate preview. The only workaround I can think of is doing apply and checking to see if it looks okay in the host app; if not, undo, adjust parameters, then repeat.
BTW, if you want to explore, @Iain has a few restoration filters you may want to try.
Well, there are no parameters offered. Only various versions of preview. I switched over to “Grey Descreen” which has some knobs…
Thanks I will
That looks pretty cool.
Maybe less time-consuming using generative AI?
I tried AI before, and I find it pretty time-consuming, so I doubt it’ll help much here.
I’m painfully new to this forum but have been on the hunt for a pattern removal tool for years. Iain - could you provide a link to your testing folder? I’ve downloaded Krita and tried to find the FFT filter mentioned I’m running a Silicon Mac & Photoshop. Thank you!
