28.05.2026, 17:35
The mov isn't interlaced, it seems to be telecined and 12000/1001 fps
so I would use:
or frame matching and frame reduction.
At a quick test I would add:
at it to remove most of the scratches&co
Then I would add DeNoise->QTGMC->InputType=2, for some more cleanup and anti-aiasing.
Then I would think about replacing some of the frames with interpolations (wherever strong artifacts are that are in the surrounded by good frames). This should be done after the cleanup, so if you use Hybrid you might need to adjust the filter order for this.
If there are really ugly frames before or after a scene change I would add replace them with duplicates of the previous frame (using 'DuplicateFrames')
Additionally, I would throw some stabilization at it.
I would then play around with the setting of these filter to seem whether I can improve that.
Also, I would try throwing some machine learning stuff at it.
so I would use:
clip = core.tivtc.TFM(clip)
clip = core.tivtc.TDecimate(clip, mode=7, rate=11.9880, dupThresh=0.04, vidThresh=3.50, sceneThresh=15.00) # new fps: 11.988At a quick test I would add:
# Spot removal using SpotLess
clip = SpotLess.SpotLess(clip, radT=3, rec=True, pel=1, mStart=True, mEnd=True, iterations=2)Then I would add DeNoise->QTGMC->InputType=2, for some more cleanup and anti-aiasing.
# Denoising using QTGMC
clip = qtgmc.QTGMC(clip, Preset="Fast", InputType=2, TR2=1, TFF=False, SourceMatch=0, Lossless=0, opencl=True)Then I would think about replacing some of the frames with interpolations (wherever strong artifacts are that are in the surrounded by good frames). This should be done after the cleanup, so if you use Hybrid you might need to adjust the filter order for this.
If there are really ugly frames before or after a scene change I would add replace them with duplicates of the previous frame (using 'DuplicateFrames')
Additionally, I would throw some stabilization at it.
I would then play around with the setting of these filter to seem whether I can improve that.
Also, I would try throwing some machine learning stuff at it.
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Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
Offline between (including) 29th of June and 5th of July => RochHarz Festival
Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
Offline between (including) 29th of June and 5th of July => RochHarz Festival

