Video enchancment / If time was not a factor?

Lynx_TWO · 7th September 2017, 02:30

Theoretical Discussion here:

If time and computing power was not a factor:

Main Tools - StaxRip and VapourSynth

Starting video - Interlaced 720p footage (or even interlaced DVD) with some film judder

Workflow:

Step 1. Deinterlace

QTGMC | Keep FrameRate | QTGMC Placebo =

Code:

clip = core.std.SetFieldBased(clip, 2) # 1 = BFF, 2 = TFF
    clip = havsfunc.QTGMC(clip, TFF = True, Preset = "Placebo", FPSDivisor=2, ForceTR=3, NNeurons = 4, SourceMatch=3, Lossless=2, Sharpness=0.0, TR2=3, NoiseProcess=1, NoiseRestore=0.0, Denoiser="dfttest", DenoiseMC=True, NoiseTR=2, NoiseDeint = "Generate", Sigma=4.0)

Step 2. Stabilize high frequency film judder

Stab =

Code:

clip = haf.Stab(clip, range=1, dxmax=4, dymax=4, mirror=0)

Step 3. Upscale for denoiseing and further processing

http://www.infognition.com/videoenhancer/, Super-resolution. Output x254 lossless (q0) or similar, 2 passes to increase resolution to 2880p

Step 4. - Denoising

4pass SMDegrain =

Code:

pass1 = havsfunc.SMDegrain(clip, tr = 3, pel = 2, subpixel = 2, Str = 3.0, blksize = 8, overlap = 2, thSAD = 400, contrasharp = True, truemotion = True, RefineMotion = True)
    pass2 = havsfunc.SMDegrain(pass1, tr = 3, pel = 2, subpixel = 2, Str = 3.0, blksize = 8, overlap = 2, thSAD = 350, contrasharp = True, truemotion = True, RefineMotion = True)
    pass3 = havsfunc.SMDegrain(pass2, tr = 3, pel = 2, subpixel = 2, Str = 3.0, blksize = 8, overlap = 2, thSAD = 300, contrasharp = True, truemotion = True, RefineMotion = True)
    clip = havsfunc.SMDegrain(pass3, tr = 3, pel = 2, subpixel = 2, Str = 3.0, blksize = 8, overlap = 2, thSAD = 250, contrasharp = True, truemotion = True, RefineMotion = True)

Step 5. - Increase detail

This, I don't know... Any machine learning based plugins to do this artificially yet?

Step 6. - Automatic color correction/re-balancing

I don't know any plugins that do this reliably based on scene changes...

Step 7. - Add some really fine grain back into the high rez upscale

TrueGrain or similar?

Step 8. - Downsize back to 1080p

Sinc =

Code:

clip = core.fmtc.resample(clip, w=1920, h=1080, kernel="sinc", taps=128)

Step 9. - Compress

Whatever compression settings you usually work with

---------------------------------------------------------------

Any thoughts or suggestions? Again, we are looking for tools that achieve maximum theoretical quality here. In addition, it would be nice to have a plugin or option to be able to restart a computer as needed without using too much processing time, so processing in chunks might be an option...

Thanks in advance!

7th September 2017, 02:30	#1 \| Link
Lynx_TWO Registered User Join Date: Aug 2005 Posts: 37	Video enchancment / If time was not a factor? Theoretical Discussion here: If time and computing power was not a factor: Main Tools - StaxRip and VapourSynth Starting video - Interlaced 720p footage (or even interlaced DVD) with some film judder Workflow: Step 1. Deinterlace QTGMC \| Keep FrameRate \| QTGMC Placebo = Code: clip = core.std.SetFieldBased(clip, 2) # 1 = BFF, 2 = TFF clip = havsfunc.QTGMC(clip, TFF = True, Preset = "Placebo", FPSDivisor=2, ForceTR=3, NNeurons = 4, SourceMatch=3, Lossless=2, Sharpness=0.0, TR2=3, NoiseProcess=1, NoiseRestore=0.0, Denoiser="dfttest", DenoiseMC=True, NoiseTR=2, NoiseDeint = "Generate", Sigma=4.0) Step 2. Stabilize high frequency film judder Stab = Code: clip = haf.Stab(clip, range=1, dxmax=4, dymax=4, mirror=0) Step 3. Upscale for denoiseing and further processing http://www.infognition.com/videoenhancer/, Super-resolution. Output x254 lossless (q0) or similar, 2 passes to increase resolution to 2880p Step 4. - Denoising 4pass SMDegrain = Code: pass1 = havsfunc.SMDegrain(clip, tr = 3, pel = 2, subpixel = 2, Str = 3.0, blksize = 8, overlap = 2, thSAD = 400, contrasharp = True, truemotion = True, RefineMotion = True) pass2 = havsfunc.SMDegrain(pass1, tr = 3, pel = 2, subpixel = 2, Str = 3.0, blksize = 8, overlap = 2, thSAD = 350, contrasharp = True, truemotion = True, RefineMotion = True) pass3 = havsfunc.SMDegrain(pass2, tr = 3, pel = 2, subpixel = 2, Str = 3.0, blksize = 8, overlap = 2, thSAD = 300, contrasharp = True, truemotion = True, RefineMotion = True) clip = havsfunc.SMDegrain(pass3, tr = 3, pel = 2, subpixel = 2, Str = 3.0, blksize = 8, overlap = 2, thSAD = 250, contrasharp = True, truemotion = True, RefineMotion = True) Step 5. - Increase detail This, I don't know... Any machine learning based plugins to do this artificially yet? Step 6. - Automatic color correction/re-balancing I don't know any plugins that do this reliably based on scene changes... Step 7. - Add some really fine grain back into the high rez upscale TrueGrain or similar? Step 8. - Downsize back to 1080p Sinc = Code: clip = core.fmtc.resample(clip, w=1920, h=1080, kernel="sinc", taps=128) Step 9. - Compress Whatever compression settings you usually work with --------------------------------------------------------------- Any thoughts or suggestions? Again, we are looking for tools that achieve maximum theoretical quality here. In addition, it would be nice to have a plugin or option to be able to restart a computer as needed without using too much processing time, so processing in chunks might be an option... Thanks in advance!