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©2021 IFeelBloated, Plum Python Module for VapourSynth


LGPL v3.0


Plum is a sharpening/blind deconvolution suite with certain advanced features like Non-Local error, Block Matching, etc..


Function List

  • Super
  • Basic
  • Final


  • Bit Depth: 32bits floating point
  • Color Space: Gray, RGB, YUV4XXPS
  • Scan Type: Progressive


  • Only Y will be processed when the input is YUV, UV will be simply copied from the input
  • RGB input will be converted to an opponent color space(YUV alike) and only luma will be processed
  • NO scene change policy provided, take Wobbly and cut each scene out and process them individually
  • QUALITY: cutting edge
  • PERFORMANCE: close to abysmal



Optional, it helps improve the precision of sub-pixel motion estimation and compensation, use it and get a quality boost or don't and get a performance boost

Super(src, pel=4)
  • src
    clip to be processed
  • pel
    sub-pixel precision, could be 2 or 4, 2 = precision by half a pixel, 4 = precision by quarter a pixel.


The basic estimation performs sharpening with spatial self similarity to cancel out ringing, the sharpening kernel is not unsharpen masking, it's a blind deconvolution filter (assuming PSF is a circle).


  • do the blind deconvolution to enhance the overall sharpness.
  • filter the result of deconvolution with supersampled Non-Local Errors, which shifts high frequency components from the deconvolved clip to the source clip without any new ringing/aliasing (could enhance the existing ringing/aliasing).
  • clamp the result with a Local Errors unsharpen masking since most videos are not completely ringing-free, this makes sure the existing ringing won't be enhanced (at least won't be enhanced much).
  • shrink the result down by 1 pixel
  • repeat all steps above a few times
  • do another Non-Local Errors filtering to remove all residual ringing. (ringing inherited from the source clip)
  • apply a cutoff filter to restore low frequency components.
Basic(src, strength=3.20, a=32, h=[6.4, 64.0], radius=1, wn=0.48, scale=0.28, cutoff=24)
  • strength
    controls the iterating process, repeat floor(strength) and ceil(strength) times and blend them according to the fractional part of the strength.
  • a
    window size of the non-local error filtering.
  • h
    h[0]: standard deviation of the non-local error filtering, default value is pretty balanced.
    h[1]: strength of the local errors filtering, greater value = more relaxed clamping.
  • radius
    radius of the deconvolution filter
  • wn, scale
    refer to VCFreq doc for more details.
  • cutoff
    strength of the cutoff filter, ranges from 0 (no low frequency protection) to 100 (almost no filtering)


The final estimation adjusts the basic estimation using temporal self similarity to cancel out noise and residual aliasing.


  • do a motion compensated temporal averaging to the difference between the basic estimation and the source clip, then apply the stabilized difference back to the source clip.
  • clamp the result temporally with motion compensation.
  • get the difference between the result and the source clip and amplify it non-linearly, then apply it back.
  • apply a cutoff filter to restore low frequency components.
Final(src, super=[None, None], radius=6, pel=4, sad=400.0, flexibility=0.64, strength=3.20, constants=[1.49, 1.272, None], cutoff=12, freq_margin=20)
  • super
    optional, clips generated by Plum.Super
  • radius
    temporal radius, frames that fall in [current frame - radius, current frame + radius] will be referenced
  • sad
    SAD threshold of the motion compensation, refer to MVTools doc for more details
  • flexibility
    flexibility of the motion compensated temporal clamping, on a scale of [0.0, 1.0], greater value = more relaxed clamping
  • strength
    general amplitude of the non-linear amplification function.
  • constants
    parameters related to the non-linear amplification function
    constants[0]: modifier for the amplification function
    constants[1]: exponent for the amplification function
    constants[2]: suppression to the very small differences, default = strength + 0.1
  • freq_margin
    frequency margin of the cutoff threshold, larger value = more delicate and less agressive sharpening


  • A
ref = Plum.Basic(clip, strength=6.4, cutoff=32)
clip = Plum.Final([clip, ref], [Plum.Super(clip), Plum.Super(ref)], strength=1.8, freq_margin=12)

  • B
ref = Plum.Basic(clip)
clip = Plum.Final([clip, ref], [Plum.Super(clip), Plum.Super(ref)], cutoff=8, freq_margin=12)

  • C
ref = Plum.Basic(clip)
clip = Plum.Final([clip, ref], [Plum.Super(clip), Plum.Super(ref)])


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