add help docs and ?

docs/nodes/Wavelet Denoise.md

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+# Wavelet Denoise
+
+Denoise a DATA_FIELD using wavelet coefficient thresholding. BayesShrink adapts the threshold per sub-band; VisuShrink uses a global threshold. Equivalent to applying DWT from Gwyddion dwt.c with coefficient thresholding.
+
+## Inputs
+
+| Name | Type | Required | Description |
+|------|------|----------|-------------|
+| field | DATA_FIELD | Yes | Input field to denoise |
+
+## Outputs
+
+| Name | Type | Description |
+|------|------|-------------|
+| denoised | DATA_FIELD | Denoised field |
+
+## Controls
+
+| Name | Type | Default | Description |
+|------|------|---------|-------------|
+| wavelet | dropdown | db4 | Wavelet family: db1 (Haar), db2, db4, db8, sym4, coif1, or bior1.3 |
+| method | dropdown | BayesShrink | Threshold estimation method: BayesShrink (per sub-band adaptive) or VisuShrink (global universal) |
+| sigma | FLOAT | 0.0 | Noise level estimate in data units; 0 = automatic estimation (0–1.0) |
+| mode | dropdown | soft | Thresholding mode: soft (smooth shrinkage) or hard (zero below threshold) |
+
+## Limitations
+
+- The field size should ideally be a power of two for best wavelet decomposition; other sizes are handled by padding.
+- sigma = 0 triggers automatic noise estimation from the finest-scale wavelet coefficients; this may be inaccurate on strongly structured surfaces.