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 = smoother result, slower. Must be odd (auto-corrected)
Size of the area searched for similar patches. Larger = better quality, much slower. Must be odd (auto-corrected)
Mask
How the mask is sized when it doesn't match the image. None: center at native size, no scaling. Stretch: scale to exactly match image dimensions. Fit: scale to fit inside image, preserving aspect ratio. Fill: scale to fill image, cropping overflow
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.