vsdirty 0.2.0

VapourSynth wrappers for denoising, masking and edge fixing

vs-dirty

A collection of VapourSynth wrappers and utility functions focused on advanced denoising, masking, and edge fixing.

Follow the docstring for more information about the parameters.

Installation

You can install vsdirty via pip:

pip install vsdirty

Or build from source:

git clone https://github.com/r74mi/vs-dirty.git
cd vs-dirty
pip install .

Dependencies

This package relies on several external VapourSynth plugins. Ensure these are installed and available in your VapourSynth plugins folder.

Plugin	URL
fmtc	GitLab
akarin	GitHub
cas	GitHub
bore	GitHub
mvtools	GitHub
BM3DCuda	GitHub
nlm-cuda	GitHub
vsmlrt	GitHub

adenoise

Designed specifically for film content, this intensive adaptive denoiser removes noise while carefully preserving fine textures and small elements. It combines mc_degrain (luma), NLMeans/CBM3D (chroma), and BM3D (luma), all modulated by adaptive masking.

Presets:

• scan65mm (Light)
• scan35mm (Medium)
• scan16mm (Heavy)
• scan8mm (Very Heavy)
• digital (Optimized for digital sources)
• default (Generic)

Parameters:

adenoise.default(
  clip: vs.VideoNode, 
  thsad: int = 500, 
  tr: int = 2, 
  sigma: float = 6, 
  luma_mask_weaken: float = 0.75, 
  luma_mask_thr: float = 0.196, 
  chroma_denoise: float | str | tuple[float, str] = [1.0, "nlm"], 
  precision: bool = True, 
  chroma_masking: bool = False, 
  luma_over_texture: float = 0.4, 
  kwargs_flatmask: dict = {},
  show_mask: int = 0
)

• clip: Clip to process (YUV or GRAY).

• thsad: Luma and chroma ref denoise strength. Recommended values: 300-800

• tr: Temporal radius for temporal consistency. Recommended values: 2-3 (1 means no temporal denoise).

• sigma: Sigma for BM3D (luma denoise strength). Recommended values: 2-10.

• luma_mask_weaken: Controls how much dark spots should be denoised. Lower values mean stronger overall denoise. Recommended values: 0.6-0.9

• luma_mask_thr: Threshold that determines what is considered bright and what is dark in the luma mask. Recommended values: 0.15-0.25

• chroma_denoise: Denoiser strength and type for chroma. NLMeans/CBM3D/ArtCNN. Reccomended strength values: 0.5-2. Accepted denoiser types: "nlm", "cbm3d", "artcnn".

• precision: If True, a flat mask is created to enhance the denoise strenght avoiding textured area.

• chroma_masking: If True, enables specific chroma masking for U/V planes.

• luma_over_texture: Lower value means more importance to textured areas, higher value means more importance to luma levels. Accepted values: 0.0-1.0

• kwargs_flatmask: Additional arguments. dict values (check hd_flatmask's docstring for more info):

  • sigma1: This value should be decided based on the details level of the clip and how much grain and noise is present. Recommended values: 1-5
  • texture_strength: Texture strength for mask (0-inf). Values above 1 decrease the strength of the texture in the mask.
  • edges_strength: Edges strength for mask (0-1). Basic multiplier for edges strength.

• show_mask: 1 = First luma mask, 2 = Textured luma mask, 3 = Complete luma mask, 4 = Show the Chroma U Plane mask (if chroma_masking = True), 5 = Show the Chroma V Plane mask (if chroma_masking = True).

• return: 16bit denoised clip. If show_mask is set, returns a tuple (denoised_clip, mask).

Usage:

from vsdirty import adenoise

denoised = adenoise.scan16mm(clip)

bore

A powerful edge cleaner (dirty line fixer) that processes borders at their native resolution to avoid scaling artifacts.

Parameters:

def bore(
  clip : vs.VideoNode,
  ythickness: List[int] = None,
  uthickness: List[int] = None,
  vthickness: List[int] = None,
  planes: PlanesT = 0,
  singlePlane = True
)

• clip: Input clip (YUV or GRAY).
• ythickness: Luma border thicknesses to process. [top, bottom, left, right].
• uthickness: Chroma U border thicknesses to process. [top, bottom, left, right].
• vthickness: Chroma V border thicknesses to process. [top, bottom, left, right]. If None, uses ythickness or uthickness.
• planes: Plane(s) to process.
• singlePlane: If True uses bore.SinglePlane, otherwise bore.MultiPlane. MultiPlane works only on 444 clips.
• return: Processed clip with corrected borders, same format as input.

Usage:

from vsdirty import bore

# Fix dirty lines: Top=1px, Bottom=1px, Left=2px, Right=2px
clean = bore(clip, ythickness=[1, 1, 2, 2])

msaa2x

An antialiaser based on ArtCNN that targets edges.

Parameters:

def msaa2x(
    clip: vs.VideoNode,
    ref: Optional[vs.VideoNode] = None,
    mask: bool = False,
    sigma: float = 2,
    thr: float = None,
    planes: PlanesT = 0,
    **kwargs
)

• clip: Clip to process (YUV or GRAY).
• ref: Reference clip used to create the edgemask (clean and denoised).
• mask: If True will return the mask used.
• sigma: Sigma used for edge fixing during antialiasing only if ref is None.
• thr: Threshold used for Binarize the clip, only 0-1 value area allowed. If None, no Binarize will be applied.
• planes: Which planes to process. Defaults to Y.
• kwargs: Accepts advanced_edgemask arguments.

Usage:

from vsdirty import msaa2x

aa_clip = msaa2x(clip)

advanced_edgemask

Generates a high-quality edge mask by combining Retinex preprocessing with multiple edge detectors (Kirsch, Sobel) to capture faint and complex edges.

from vsdirty import admask

emask = admask.advanced_edgemask(clip, luma_scaling=10)

hd_flatmask

A specialized mask for flat areas, useful for protecting textures or targeting specific flat regions for filtering.

from vsdirty import admask

flat_mask = admask.hd_flatmask(clip)

diff_and_swap

A utility to repair damaged frames in a "base" clip using a "correction" clip. It compares frames and swaps them if the difference exceeds a threshold.

from vsdirty import adutils

# automated patching
repaired, _ = adutils.diff_and_swap(correction_clip, base_clip, thr=30000)

License

MIT License