2-D adaptive noise-removal filtering
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 (2024). 2-D adaptive noise-removal filtering (https://www.mathworks.com/matlabcentral/fileexchange/36849-2-d-adaptive-noise-removal-filtering), MATLAB Central File Exchange. Retrieved .
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Platform Compatibility
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- Signal Processing > Signal Processing Toolbox > Digital and Analog Filters > Digital Filtering >
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Image Category Classification >
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Acknowledgements
Inspired: speech enhancement using weiner finter
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