2-D adaptive noise-removal filtering

Modified version of WIENER2 from image toolbox with proper noise estimation
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Aggiornato 25 mag 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.

Cita come

SANTIAGO AJA-FERNANDEZ (2024). 2-D adaptive noise-removal filtering (https://www.mathworks.com/matlabcentral/fileexchange/36849-2-d-adaptive-noise-removal-filtering), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R10
Compatibile con qualsiasi release
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Ispirato: speech enhancement using weiner finter

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Versione Pubblicato Note della release
1.1.0.0

moda.m required has been added to the same file

1.0.0.0