2-D adaptive noise-removal filtering
Modified version of WIENER2 from image toolbox with proper noise estimation
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WIENERC modifies the WIENER2 function from the MATLAB image toolbox to provide proper noise estimation (assuming additive Gaussian noise)
Four noise methods implemented:
-Mode of local variance (recommended)
-Median of local variance
-Minimum of local variance
-Median absolute deviation based.
Methods proposed in:
S. Aja-Fernández, G. vegas-Sanchez-Ferrero, M. Martín-Fernández and C. Alberola-López, "Automatic Noise Estimation in Images Using Local Statistics. Additive and Multiplicative Cases". Image and Vision Computing, Vol. 27, Issue 6, May 2009, pp. 756-770.
Cite As
SANTIAGO AJA-FERNANDEZ (2026). 2-D adaptive noise-removal filtering (https://in.mathworks.com/matlabcentral/fileexchange/36849-2-d-adaptive-noise-removal-filtering), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired: speech enhancement using weiner finter
General Information
- Version 1.1.0.0 (2.69 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
