more quality of life updates
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@@ -23,7 +23,7 @@ Denoise a DATA_FIELD using wavelet coefficient thresholding. BayesShrink adapts
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| sigma | FLOAT | 0.0 | Noise level estimate in data units; 0 = automatic estimation (0–1.0) |
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| mode | dropdown | soft | Thresholding mode: soft (smooth shrinkage) or hard (zero below threshold) |
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## Limitations
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## Notes
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- The field size should ideally be a power of two for best wavelet decomposition; other sizes are handled by padding.
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- sigma = 0 triggers automatic noise estimation from the finest-scale wavelet coefficients; this may be inaccurate on strongly structured surfaces.
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