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docs/nodes/Deconvolution.md

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+# Deconvolution
+
+Restore an image via regularised deconvolution. Assumes the image was blurred by a Gaussian PSF with the given sigma. Equivalent to Gwyddion's deconvolve.c module.
+
+## Inputs
+
+| Name | Type | Required | Description |
+|------|------|----------|-------------|
+| field | DATA_FIELD | Yes | Input blurred field |
+
+## Outputs
+
+| Name | Type | Description |
+|------|------|-------------|
+| restored | DATA_FIELD | Deconvolved (sharpened) field |
+
+## Controls
+
+| 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) |
+
+## 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.
+- For tip-shape deconvolution (non-Gaussian PSF), use Tip Deconvolution instead.