Reduce Noise: HQDN3D Video Filter

HQDN3D (High Quality DeNoise 3D) reduces noise by smoothing pixel variations across space and time. The “3D” refers to processing in two spatial dimensions (X, Y) and one temporal dimension (frames).

This filter reduces noise by averaging similar values, not by reducing precision or analyzing edges.

Parameters

Spatial (0.0–100.0)

Controls the amount of spatial noise reduction applied within each frame.

This parameter uses a normalized, unitless scale representing relative denoising strength.

  • Lower values
    Minimal smoothing; preserves fine detail and edges

  • Higher values
    Stronger smoothing; increased noise reduction with potential loss of texture

Spatial denoising primarily targets:

  • Grain
  • Sensor noise
  • Compression artifacts within a single frame

Temporal (0.0–100.0)

Controls the amount of temporal noise reduction applied across adjacent frames.

This parameter also uses a normalized, unitless scale.

  • Lower values
    Little or no frame averaging

  • Higher values
    Stronger noise reduction over time

Temporal denoising primarily targets:

  • Flickering noise
  • Temporal grain
  • Low-light shimmer

High values may introduce motion artifacts such as smearing or ghosting.

Keyframes

Both Spatial and Temporal parameters can be keyframed, allowing noise reduction strength to vary over time.

This enables adaptive workflows such as:

  • Stronger denoising in dark or static sections
  • Reduced denoising during fast motion
  • Gradual transitions between noise profiles

Parameter interaction

The two controls operate on different dimensions:

  • Spatial smooths variations within a single frame
  • Temporal smooths variations between frames

Moderate values for both parameters typically produce better results than extreme values on either control alone.

Visual characteristics

Typical effects include:

  • Reduced grain and flicker
  • Smoother shadows and flat areas
  • Loss of fine detail at high Spatial values
  • Motion artifacts at high Temporal values

Recommended use cases

  • Low-light or high-ISO footage
  • Compressed or archival video
  • Static or slow-moving scenes
  • Footage where spatial-only denoising is insufficient

Limitations

  • Not edge-aware
  • May soften fine detail
  • Temporal denoising can cause ghosting on motion
  • High values are unsuitable for fast action or handheld footage