Deblur
Reduce motion blur and camera shake
Best for mild-to-moderate blur. Severe blur may show limited improvement. AI results are approximate - not suitable for forensic or evidentiary use.
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COMBb2's AI Deblur tool uses the NAFNet (Nonlinear Activation Free Network) model to reduce motion blur, camera shake, and soft focus in your photos. The neural network runs entirely in your browser - no uploads required. Best suited for mild-to-moderate blur from handheld shots, slight motion, or soft autofocus.
Common Use Cases
- Camera shake correctionRecover sharpness from photos affected by unsteady hands or slow shutter speeds.
- Motion blur reductionReduce blur from slight subject movement during exposure.
- Soft focus recoverySharpen photos where autofocus missed slightly or focused on the wrong area.
- Low-light handheld shotsCompensate for the blur that comes from shooting handheld in dim conditions.
- Scanned photo restorationSharpen scanned prints that appear soft due to scanner limitations.
How It Works
NAFNet is a lightweight neural network designed for image restoration. It analyzes blur patterns in your photo and reconstructs sharper details using learned priors from training on millions of image pairs. The model runs locally in your browser via WebAssembly - no internet connection is needed after the page loads.
Why Privacy Matters Here
Photos you need to deblur may contain personal moments, confidential content, or client work. Unlike cloud-based deblurring services, COMBb2 processes everything on your device. Your photos, whether personal snapshots or professional work, never touch a remote server.