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add keywords for all nodes

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matei jordache
2026-04-04 14:58:56 -07:00
parent 69f1d1bebd
commit a0d3b22f18
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docs/nodes/Deconvolution.md
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@@ -19,13 +19,13 @@ Restore an image via regularised deconvolution. Assumes the image was blurred by
| Name | Type | Default | Description |
|------|------|---------|-------------|
| method | dropdown | wiener | Deconvolution method: wiener or richardson_lucy |
| sigma | FLOAT | 2.0 | Gaussian PSF sigma in pixels (0.1–50.0) |
| regularisation | FLOAT | 0.01 | Regularisation parameter for Wiener filter (1e-6–1.0) |
| iterations | INT | 10 | Number of iterations (Richardson-Lucy only, 1–200) |
| sigma | FLOAT | 2.0 | Gaussian PSF sigma in pixels (0.1-50.0) |
| regularisation | FLOAT | 0.01 | Regularisation parameter for Wiener filter (1e-6-1.0) |
| iterations | INT | 10 | Number of iterations (Richardson-Lucy only, 1-200) |
## Notes
- **Wiener**: Fast, single-pass frequency-domain filter. The regularisation parameter controls the noise/sharpness tradeoff — smaller values sharpen more but amplify noise.
- **Richardson-Lucy**: Iterative method that preserves positivity. More iterations = sharper result but risk of ringing artifacts.
- The PSF sigma should match the actual blur in the image. If unknown, start with sigma=1–3 and adjust.
- The PSF sigma should match the actual blur in the image. If unknown, start with sigma=1-3 and adjust.
- For tip-shape deconvolution (non-Gaussian PSF), use Tip Deconvolution instead.