Fast Noise Estimation in Images

Versione 1.0.0.0 (1,6 KB) da Tolga Birdal
Estimate the standard deviation of the noise in a gray-scale image.
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Aggiornato 31 mag 2012

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Nota dell'editore: This file was selected as MATLAB Central Pick of the Week

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'));
Sigma=estimate_noise(I);

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.

Cita come

Tolga Birdal (2024). Fast Noise Estimation in Images (https://www.mathworks.com/matlabcentral/fileexchange/36941-fast-noise-estimation-in-images), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2009b
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Ispirato da: Noise Level Estimation from a Single Image

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Versione Pubblicato Note della release
1.0.0.0