Denoise
Reduces image noise while preserving edges and detail using Non-Local Means denoising.
Denoise uses Non-Local Means (NLM) filtering to reduce noise. Unlike simple blurring, NLM compares patches across the image to distinguish between noise and real detail, preserving sharp edges while smoothing noisy areas.
Strength controls luminance noise removal, and Color Strength handles chroma noise separately. The template and search sizes control quality: larger values produce better results but take longer.
Parameters
Section titled “Parameters”Pins
Filter
Luminance denoising strength. Higher = more noise removed, but may lose fine detail
Color component denoising strength. Higher reduces color noise (chroma speckles) more aggressively
Size of the patch used for comparison. Larger is smoother but slower. Must be odd (auto-corrected)
Size of the area searched for similar patches. Larger is better quality but much slower. Must be odd (auto-corrected)
Mask
How the connected color image is read as a mask
How the mask is sized when it doesn't match the image
Usage Tips
Section titled “Usage Tips”- Start with strength 10 and adjust up for noisier images.
- Increase search size for better quality at the cost of processing time.
- Use Color Strength independently to target colorful noise speckles.
- Connect a mask input to denoise only specific regions, targeting noisy areas while preserving detail elsewhere.