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Denoise

AI-powered noise removal for photos

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COMBb2's AI Denoiser uses SCUNet (Swin-Conv-UNet), a state-of-the-art blind denoising neural network, to remove grain, noise, and artifacts from photos. It handles everything from mild camera noise to heavy grain - no manual tuning required. The AI model runs entirely in your browser, keeping your photos private.

Common Use Cases

  • Low-light photography
    Clean up grain from photos taken in dim conditions or at high ISO settings.
  • Night photography
    Remove noise from city, landscape, or astrophotography shots taken after dark.
  • Scanned documents and photos
    Reduce scanner noise and grain from digitized prints and film.
  • Old photo restoration
    Clean up grain and artifacts in vintage scanned photographs.
  • Video frame extraction
    Denoise individual frames extracted from video footage.

How It Works

SCUNet combines Swin Transformer attention blocks with convolutional layers to distinguish between real image detail and noise. It's a "blind" denoiser - it automatically detects the noise type and level without manual configuration. You can adjust the denoising strength to balance noise removal against detail preservation.

Why Privacy Matters Here

Professional photographers processing client shoots, personal photos taken in private settings, and scanned documents often contain sensitive content. Cloud denoising services require uploading these files. COMBb2 runs the SCUNet AI model entirely in your browser - your images never leave your device.

Frequently Asked Questions

What types of noise can it remove?+
The SCUNet model handles Gaussian noise (sensor noise), Poisson noise (shot noise from low light), JPEG compression artifacts, and mixed real-world noise. It works on both color and grayscale images.
Will denoising make my image look blurry?+
The AI is designed to preserve edges and details while removing noise. At moderate strength settings, you'll see noise reduction without significant softening. At maximum strength, some fine detail may be smoothed along with the noise. Use the before/after preview to find the right balance.
Should I denoise before or after other edits?+
Denoise first, then sharpen or upscale. Denoising after sharpening can produce artifacts, and upscaling noisy images amplifies the noise. The recommended workflow is: denoise → sharpen → upscale.
How long does denoising take?+
Processing time depends on image size and your device's GPU capabilities. A typical 12 MP photo takes 10-30 seconds on modern hardware. The AI processes in tiles, so very large images work fine but take proportionally longer.
Are my photos uploaded for processing?+
No. The SCUNet AI model runs entirely in your browser. Your images stay on your device throughout the entire process.

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