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Fast Noise Estimation in Images

4.0 | 1 rating Rate this file 45 Downloads (last 30 days) File Size: 1.6 KB File ID: #36941 Version: 1.0

Fast Noise Estimation in Images



Estimate the standard deviation of the noise in a gray-scale image.

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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.


Noise Level Estimation From A Single Image inspired this file.

Required Products Image Processing Toolbox
MATLAB release MATLAB 7.9 (R2009b)
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Comments and Ratings (2)
21 Apr 2015 Sanchari Sengupta

This might sound very lame but can you please tell guide me from point to point as to how to run this file? Its very urgent

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27 Nov 2012 Youssef Khmou

Youssef Khmou (view profile)


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