Noise estimation from rician noise corrupted images

Version 1.1.0.0 (36.9 KB) by Jeny Rajan
This program can be used for estimating noise from an image corrupted with rician noise (eg: MRI)
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Updated 22 Apr 2016

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Estimates the noise standard deviation from an (MRI) image (2D) corrupted with Rician noise based on the skewness of the distribution. This method doesn't depend on the background for noise estimation. Can be used for MR images with and without background.
Ref: Jeny Rajan, Dirk Poot, Jaber Juntu and Jan Sijbers, "Noise measurement from magnitude MRI using local estimates of variance and skewness", Physics in Medicine and Biology, Vol 55, N441-N449,2010.

Cite As

Jeny Rajan (2026). Noise estimation from rician noise corrupted images (https://www.mathworks.com/matlabcentral/fileexchange/28779-noise-estimation-from-rician-noise-corrupted-images), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2009a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.1.0.0

adding BSD license
added the polynomial expression of the lookup table mentioned in the program.
1.0.0.0