Image Lab v2
Add 6 types of noise, then remove them with 8 denoising filters — all in real-time, directly in your browser. Compare Original · Noised · Filtered side by side.
The Full Pipeline — At a Glance
Upload any image, choose a noise type, pick a filter, and instantly compare all three stages: Original → Noised → Filtered. The PSNR score tells you exactly how good the denoising is.
6 Types of Noise — Stackable
Real-world images are corrupted by different noise models depending on the sensor, medium, or transmission channel. Image Lab v2 lets you apply any of these and stack multiple noises together.
Gaussian
Random normal distribution. Most common in sensors and cameras.
Salt & Pepper
Random black and white pixels — typical of bit errors.
Poisson
Photon-counting noise in low-light conditions and medical imaging.
Speckle
Granular noise in radar, ultrasound and SAR imagery.
Uniform
Equal probability random noise across all intensity levels.
Periodic
Sinusoidal pattern from electrical interference. Visible as bands.
⚡ Stackable: You can combine multiple noise types on the same image — for example, add Gaussian + Salt & Pepper simultaneously, then test which filter handles the combo best.
8 Filters to Remove Any Noise
After corrupting your image, pick a denoising filter and see the result instantly. Each filter has its own strengths depending on the noise type.
| Filter | Best For | Preserves Edges? | Speed |
|---|---|---|---|
| Median | Salt & Pepper | ✓ Yes | Fast |
| Gaussian | Gaussian noise | ✗ Soft | Fast |
| Bilateral | General noise | ✓ Strong | Medium |
| Non-Local Means | Texture-rich images | ✓ Very strong | Slow |
| Laplacian Edge | Edge enhancement | ✓ Sharpens | Fast |
| Unsharp Mask | Detail recovery | ✓ Good | Fast |
PSNR — Know If Your Filter Worked
Every time you apply a filter, Image Lab v2 computes the Peak Signal-to-Noise Ratio (PSNR) automatically — a standard metric used in image quality research. The higher the PSNR, the better the reconstruction.
📊 No guessing. The app shows you a color-coded PSNR indicator (green / orange / red) right in the toolbar so you know instantly whether your filter choice was optimal.
3 Steps, Zero Setup
Upload Your Image
Drag and drop any PNG, JPG, or GIF (up to 10MB) — or click "Demo Image" to start immediately with a built-in test image.
Choose Noise & Filter
Select one or more noise models from the left panel. Then pick a denoising filter from the right panel. Stack noises freely.
Click "Apply All" & Compare
Hit the Apply All button and instantly see Original vs Noised vs Filtered — with the PSNR score showing your filter's performance.
Image Lab v1 vs v2
Each version of Image Lab targets a different area of image processing:
| Feature | v1 — Processing Lab | v2 — Noise & Filters |
|---|---|---|
| Color channels (R/G/B) | ✓ | — |
| Grayscale / Binarization | ✓ | — |
| Resize & Rotation | ✓ | — |
| Noise models (×6) | — | ✓ |
| Denoising filters (×8) | — | ✓ |
| PSNR quality metric | — | ✓ |
| 3-panel comparison | — | ✓ |
| 100% browser-side | ✓ | ✓ |
Add Noise. Remove It. Measure It.
The most complete browser-based noise & filter playground. No install, no account, completely free.
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