MATLAB: Noise levels

image processingMATLAB

how to add different noise levels to a image

Best Answer

A = 20; %amplitude of 10 - noise
noise = (rand(size(I))-.5)*A);
Inoisy = I+noise;

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MATLAB: Random noise vs. White/Gaussian noise

rand() is a MATLAB random number generator. It generates random variables that follow a uniform probability distribution. randn() generates random numbers that follow a Gaussian distribution.

In the Statistics Toolbox, you have the ability to generate a wide variety of "noise" distributions.

MATLAB: How to generate normalised random numbers in between -0.3 to 0.3

noise = rand(1,10)*0.6 - 0.3
noise =
    0.0973    0.0479    0.2486    0.1055   -0.1262   -0.0478    0.0915   -0.1104    0.0098    0.2665

or more generally:

    noiseAmp = 0.3;
    noise = rand(1,10) * 2 * noiseAmp - noiseAmp;

Best Answer

Related Solutions

MATLAB: Random noise vs. White/Gaussian noise

MATLAB: How to generate normalised random numbers in between -0.3 to 0.3

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