This is an extremely simple m-file which implements the method described in :
J. Immerkær, “Fast Noise Variance Estimation”, Computer Vision and Image Understanding, Vol. 64, No. 2, pp. 300-302, Sep. 1996
The function inputs a grayscale image I and returns Sigma, the noise estimate. Here is a sample use:
I = rgb2gray(imread('sample.jpg'));
The advantage of this method is that it includes a Laplacian operation which is almost insensitive to image structure but only depends on the noise in the image.
Tolga Birdal (2022). Fast Noise Estimation in Images (https://www.mathworks.com/matlabcentral/fileexchange/36941-fast-noise-estimation-in-images), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
Inspired by: Noise Level Estimation from a Single Image
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