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| title: Edge Aware Image Denoiser | |
| emoji: "🖼️" | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: gradio | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: Edge-aware image denoising app | |
| # Edge-Aware Image Denoiser | |
| A Gradio app for testing edge-preserving image denoising methods. | |
| ## Methods | |
| - Perona-Malik diffusion | |
| - Total Variation denoising | |
| - Bilateral filtering | |
| ## Features | |
| - Upload an image | |
| - Optionally add Gaussian noise for testing | |
| - Compare original, noisy, and denoised images | |
| - Adjust denoising settings | |
| - View quality metrics when synthetic noise is added | |
| - Download noisy and denoised images | |
| ## Run locally | |
| ```bash | |
| pip install -r requirements.txt | |
| python app.py | |
| ``` | |
| ## Project files | |
| ```text | |
| app.py | |
| edge_aware_denoiser.py | |
| requirements.txt | |
| test_denoiser.py | |
| ``` | |
| ## Usage | |
| For already noisy images, leave synthetic noise turned off. Use Perona-Malik or Total Variation when edge preservation matters. Use Bilateral filtering for lighter smoothing. | |