2-D adaptive noise-removal filtering

Version 1.1.0.0 (2.69 KB) by SANTIAGO AJA-FERNANDEZ
Modified version of WIENER2 from image toolbox with proper noise estimation
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Updated 25 May 2012

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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 .

MATLAB Release Compatibility
Created with R10
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Acknowledgements

Inspired: speech enhancement using weiner finter

Version Published Release Notes
1.1.0.0

moda.m required has been added to the same file
1.0.0.0