MCBob

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Abstract
Author Didée
Version v0.3u6
Download MCBobUv6.avsi
Category Deinterlacers
License
Discussion original / continued

Contents

Description

Another approach to motion compensated bobbing, build by Didée.


Requirements

  • AviSynth 2.5.8 or greater
  • Supported color formats: YV12

Required Plugins

Latest version of the following plugins are recommended unless stated otherwise.

Optional:

  • EEDI2 | NNEDI | NNEDI2
    Only required when it's specifically set by the EdiMode parameter.
  • ReduceFlicker
    Only required when MEtempNR is greater than 0.


Syntax and Parameters

MCBobu (clip clp, float "EdiPre", int "EdiPost", int "blocksize", int "search", int "MEdepth", string "EdiMode", int "nsize", int "nns", int "qual", int "maxd", float "sharpness", int "mtnmode", float "mtnth1", float "mtnth2", float "errth1", float "errth2", float "MEspatNR", float "MEtempNR")

EdiPre    = default( EdiPre,       1.0 )  #  What bob to start with: 0.0 = dumbbob, 1.0 = EdiBob, inbetween = mix of both
EdiPost   = default( EdiPost,        2 )  #  0 = no EDI PP / 1 = Framesized Edi PP / Average two Fieldbased Edi PP's
bs        = default( blocksize,     16 )  #  Blocksize for motion search
search    = default( search,         2 )  #  Motion Search Algorithm. Default is "Diamond"
me        = default( MEdepth,        2 )  #  Search effort of motion search
EdiMode   = default( EdiMode, "nnedi3" )  #  Interpolator. Select between EEDI2, nnedi, nnedi2, & nnedi3
nsize     = default( nsize,          2 )  #  nnedi2/nnedi3 only: Sets the size of the local neighborhood around each pixel that is used by the predictor neural network. 
                                          #  For deinterlacing, larger x_diameter settings will allow connecting lines of smaller slope. 0-2 for nnedi2; 0-4 for nnedi3. 
                                          #  Possible settings (x_diameter x y_diameter): 0 (8x6), 1 (16x6), 2 (32x6), 3 (48x6), 4 (8x4)
nns       = default( nns,            1 )  #  nnedi3 only: "Speed" vs. "Quality" option. Sets the number of neurons in the predictor neural network.
                                          #  Settings ranges from 0 to 3 (3 being the best/slowest). 0 (32), 1 (64), 2 (128), or 3 (256)
qual      = default( qual,           1 )  #  nnedi2/nnedi3 only: Controls the number of different neural network predictions that are blended together to compute the final output value. 
                                          #  Each neural network was trained on a different set of training data. Blending the results of these different networks improves generalization to unseen data.
                                          #  Possible values are 1-3 for nnedi2, and 1 or 2 for nnedi3. Essentially this is a quality vs speed option. 
                                          #  Larger values will result in more processing time, but should give better results.
maxd      = default( maxd,          24 )  #  Adjustable parameter for EEDI2 only. Refer to EEDI2's doc for details

sharpness = (EdiPost==2)
 \        ? default( sharpness,    0.7 )  
 \        : default( sharpness,    1.0 )  #  use slight sharpening before STT routine
    
mtnmode   = default( mtnmode,        1 )  #  0 = use only same-parity motion check, 1|2 use an additional 
                                          #  inter-parity check: 1 = on vertical edges / 2 = not on horizontal edges
mtnth1    = default( mtnth1,      0.20 )  #  below this percentage of local min/max is static
mtnth2    = default( mtnth2,      0.40 )  #  above this percentage of local min/max is motion
errth1    = default( errth1,      0.40 )  #  similar for error detection
errth2    = default( errth2,      0.60 )  #  of motion interpolation errors
MEspatNR  = default( MEspatNR,    0.00 )  #  amount of spatial NR (for motion search only)
MEtempNR  = default( MEtempNR,    0.00 )  #  amount of temporal NR (for motion search only)


History

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