digitalFAQ.com Forum - Best denoise filter to use on this Video8 capture?

I quickly modified one of my script to make an expertiment on your video. This is the script (very, very slow):

Code:

# interlaced fields TFF

# TemporalDegrain2: Denoiser, Temporal filter with motion compensation

# LSFmod: Sharpener

# modeC_Nnedi3 for interlaced fields



video_org=AviSource("C:\Users\giuse\Desktop\sampleclip-noaudio.avi")



# cropping 

        crop_left=0

        crop_top=0

        crop_right=8

        crop_bottom=8

video_org_crop=video_org.crop(crop_left,crop_top,-crop_right,-crop_bottom)



# plugins directory

plugins_dir="C:\Users\giuse\Documents\VideoSoft\MPEG\AviSynth\extFilters\"



        # TemporalDegrain2

Import(plugins_dir + "TemporalDegrain-v2.2.1_modGMa.avsi")

        # RgTools

loadPlugin(plugins_dir + "RgTools-v1.0\x86\RgTools.dll")

        # MaskTools2

loadPlugin(plugins_dir + "masktools2-v2.2.23\x86\masktools2.dll")

        # MVTools

loadPlugin(plugins_dir + "mvtools-2.7.41-with-depans20200430\x86\mvtools2.dll")

        # FFT3DFilter

loadPlugin(plugins_dir + "FFT3dFilter-v2.6\x86\fft3dfilter.dll")

        # FFTW

loadPlugin(plugins_dir + "LoadDll\LoadDll.dll")

loadDll(plugins_dir + "fftw-3.3.5-dll32\libfftw3f-3.dll")



        # LSFmod

Import(plugins_dir + "LSFmod.v1.9.avsi")

        # RgTools

#loadPlugin(plugins_dir + "RgTools-v1.0\x86\RgTools.dll")

        # MaskTools2

#loadPlugin(plugins_dir + "masktools2-v2.2.23\x86\masktools2.dll")



        # Nnedi3

loadPlugin(plugins_dir + "NNEDI3_v0_9_4_55\x86\Release_W7\nnedi3.dll")



# parameters

# denoiser

        degrainTR=3

        postFFT=0

        postSigma=1

# sharpener

        strength=100

        overshoot=1

        ss_x=1.5

        ss_y=1.5



### de-interlacing

deinterlaced=video_org_crop.AssumeTFF().nnedi3(field=-2)



### convert to YV16

deinterlaced_yv16=deinterlaced.convertToYV16(interlaced=true)



### denoising

denoised=deinterlaced_yv16.TemporalDegrain2(degrainTR=degrainTR, postFFT=postFFT, postSigma=postSigma)



### convert to YUY2

denoised_yuy2=denoised.convertToYUY2(interlaced=false)



### convert to YV12

denoised=denoised_yuy2.convertToYV12(interlaced=false)



### sharpening

sharpened=denoised.LSFmod(strength=strength, overshoot=overshoot, ss_x=1.5, ss_y=1.5, secure=false, Spwr=2, SdmpLo=strength/25, SdmpHi=0, soothe=false, keep=25, edgemaskHQ=true)### convert to YUY2 with chroma from YUY2 color space



### convert to YUY2 with chroma from YUY2 color space

sharpened_yuy2=sharpened.convertToYUY2(interlaced=false).MergeChroma(denoised_yuy2)



### interlacing

interlaced=sharpened_yuy2.AssumeTFF().SeparateFields().SelectEvery(4,0,3).Weave()



### add borders

video_restored=interlaced.addborders(crop_left,crop_top,crop_right,crop_bottom)



#return(video_restored)



stackhorizontal(\

subtitle(video_org,"video_org",size=20,align=2),\

subtitle(video_restored,"video_restored",size=20,align=2)\

)

and attached you can find the result (reduced, to stay in the 100MB size limit). It is only a quick try, not optimized at all.

You may consider to do not deinterlace and apply the filtering using:

SeparateFields()
SelectEven().<filtering>
SelectOdd().<filtering>
Interleave()
Weave()

as alternative, or, in the opposite direction, to use QTGMC as deinterlacer.

You may also want to experiment different values for the parameters of TemporalDegrain and LSFmod. In particular, try the post-processing of TemporalDegrain2 to further reduce noise if wished (but you may loose some more detail doing so).

About the left edge, you may try to soften the blu line with Cnr2 or ChubbyRain2 or ChromaDestripe, or simply crop and addborders to "mask" it.