Hello,
I'm having trouble removing blue chroma noise in dark parts of the image. I first tried auto-profile, and then tried selecting just the area with the noise, but it appeared to make little difference.
I've attached 3 images: The Noise profile, the Temporal Settings and the Spatial Settings.
Any suggestions?
Thanks in advance.
Regards,
Rajnesh
Noise Profile:
Temporal Settings:
Spatial Settings:
Blue noise in dark areas is difficult to remove.
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- Posts: 9
- Joined: Tue Jun 23, 2020 2:39 pm
Re: Blue noise in dark areas is difficult to remove.
I recommend to try preparing a noise profile using the method shown in this video tutorial. Once you build a good noise profile using that method, try additionally to increase the temporal filter radius. That may help.
Do not enable "Adapt to changing noise" if your clip shows the same noise from the beginning to the end.
Hope this helps,
Vlad
Do not enable "Adapt to changing noise" if your clip shows the same noise from the beginning to the end.
Hope this helps,
Vlad
Re: Blue noise in dark areas is difficult to remove.
Neat video is not really suited for this kind of noise, instead use avisynth and the script below:
AVISource("MyVideo.avi")
assumetff()
ConvertToYV16(interlaced=true)
orig=last
ev=orig.assumetff().separatefields().selecteven()
od=orig.assumetff().separatefields().selectodd()
ev
ue_chroma = UToY(ev).blur(0,1.5).binomialblur(5).ttempsmooth(maxr=6,lthresh=150, strength=6).KNLMeansCL(d=3,a=8,s=2,h=6)
ve_chroma = VToY(ev).blur(0,1.5).binomialblur(5).ttempsmooth(maxr=6,lthresh=150, strength=6).KNLMeansCL(d=3,a=8,s=2,h=6)
YToUV(ue_chroma, ve_chroma)
MergeLuma(ev)
ev_filtered=last
od
uo_chroma = UToY(od).blur(0,1.5).binomialblur(5).ttempsmooth(maxr=6,lthresh=150, strength=6).KNLMeansCL(d=3,a=8,s=2,h=6)
vo_chroma = VToY(od).blur(0,1.5).binomialblur(5).ttempsmooth(maxr=6,lthresh=150, strength=6).KNLMeansCL(d=3,a=8,s=2,h=6)
YToUV(uo_chroma, vo_chroma)
MergeLuma(od)
od_filtered=last
interleave(ev_filtered,od_filtered)
assumefieldbased().assumetff().weave()
Note filters required: ttempsmooth, KNLmeans, variablur
AVISource("MyVideo.avi")
assumetff()
ConvertToYV16(interlaced=true)
orig=last
ev=orig.assumetff().separatefields().selecteven()
od=orig.assumetff().separatefields().selectodd()
ev
ue_chroma = UToY(ev).blur(0,1.5).binomialblur(5).ttempsmooth(maxr=6,lthresh=150, strength=6).KNLMeansCL(d=3,a=8,s=2,h=6)
ve_chroma = VToY(ev).blur(0,1.5).binomialblur(5).ttempsmooth(maxr=6,lthresh=150, strength=6).KNLMeansCL(d=3,a=8,s=2,h=6)
YToUV(ue_chroma, ve_chroma)
MergeLuma(ev)
ev_filtered=last
od
uo_chroma = UToY(od).blur(0,1.5).binomialblur(5).ttempsmooth(maxr=6,lthresh=150, strength=6).KNLMeansCL(d=3,a=8,s=2,h=6)
vo_chroma = VToY(od).blur(0,1.5).binomialblur(5).ttempsmooth(maxr=6,lthresh=150, strength=6).KNLMeansCL(d=3,a=8,s=2,h=6)
YToUV(uo_chroma, vo_chroma)
MergeLuma(od)
od_filtered=last
interleave(ev_filtered,od_filtered)
assumefieldbased().assumetff().weave()
Note filters required: ttempsmooth, KNLmeans, variablur