digitalFAQ.com Forum - 8mm Vietnam film, capture in VirtualDub with Avisynth?

In their basic, the videofred scripts are quite simple. An example (no stabilization):

1- download his file and place it somewhere

2- create this script:
Code:
video_org=AviSource("<your file>.avi")

#example:

# video_org=AviSource("C:\Users\giuse\Videos\Acquisizioni\ufo_sII2a_spot_amtv_2_cut.avi")



# plugins directory

plugins_dir_videofred="<the absolute path where you placed the plugins from videofred downloaded zip file>"

# example:

# plugins_dir_videofred="C:\Users\giuse\Videos\Acquisizioni\avs_scripts\videoFred\20)Film_Restoring_vs_06_2012\scripts\plugins\"



        # RemoveDirtMC

Import(plugins_dir_videofred + "03_RemoveDirtMC.avs")

        # MVTools

LoadPlugin(plugins_dir_videofred + "MVTools2.dll")

        # RemoveGrain

Loadplugin(plugins_dir_videofred + "RemoveGrain.dll")

        # RemoveDirt

LoadPlugin(plugins_dir_videofred + "RemoveDirt.dll")

        # WarpSharp

Loadplugin(plugins_dir_videofred + "warpsharp.dll")

        # MVTools

LoadPlugin(plugins_dir_videofred + "MVTools.dll")



# parameters

# cleaning and pre-sharpening

        # cleaning

        dirt_strenght=30        # set this lower for clean films



        # sharpening

        USM_sharpness=40                                # this is the start value for the unsharpmask sharpening

        USM_radius=3                                        # do not set radius less then 3; the script will automatically add two other steps with lower radius

        USM_sharpness1=USM_sharpness

        USM_sharpness2=USM_sharpness+(USM_sharpness/2)

        USM_radius1=USM_radius

        USM_radius2=USM_radius-1

        USM_radius3=USM_radius2-1



# degraining and sharpening

        # degraining

        block_size=16                # block size of MVDegrainMulti()

        block_size_v=16

        block_over=8                # block overlapping of MVDegrainMulti()

        denoising_strenght=300        # denoising level of second denoiser: MVDegrainMulti()

        denoising_frames=3        # number of frames for averaging (forwards and backwards) 3 is a good start value



        # sharpening

        USM_sharpness3=USM_sharpness*2

        USM_radius3=USM_radius2-1



# final sharpening

        last_sharp=0.1        # final sharpening step

        last_blur=0.2        # this smooths out the heavy sharpening effects



### convert to YV12 

noise_baseclip_yv12=video_org.ConvertToYV12()



### cleaning and pre-sharpening

cleaned=RemoveDirtMC(noise_baseclip_yv12,dirt_strenght).unsharpmask(USM_sharpness1,USM_radius1,0).unsharpmask(USM_sharpness2,USM_radius2,0)



### degraining and sharpening

vectors=cleaned.MVAnalyseMulti(refframes=denoising_frames,pel=2,blksize=block_size,blksizev=block_size_v,overlap=block_over,idx=1)

denoised=cleaned.MVDegrainMulti(vectors,thSAD=denoising_strenght,SadMode=1,idx=2)



### final sharpening

sharpened=denoised.sharpen(last_sharp,mmx=false).sharpen(last_sharp,mmx=false).blur(last_blur,mmx=false)



### convert to YUY2

video_restored=sharpened.ConvertToYUY2()



### restored video

#eval("video_restored")



### comparison between original video and restored video

stackhorizontal(\

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

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

)
3- open the script in VirtualDub

Any question, just ask ;)