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How to add to an image white Gaussian noise of zero mean and standard deviation of certain gray levels?

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Hello everyone, How can we add white Gaussian noise to an image with zero mean and standard deviation of 64 gray levels? I do know how to add noise of zero mean and variance using imnoise but I do not know about standard deviation of 64 gray levels.

Accepted Answer

Image Analyst
Image Analyst on 12 Jul 2018
Did you try imnoise() or randn()? If not, why not? They're so easy that you should be able to figure them out on your own.
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More Answers (1)

lakpa tamang
lakpa tamang on 13 Dec 2019
why is the mean not 0 in your code, yet he is asking for awgn?
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Image Analyst
Image Analyst on 13 Dec 2019
I used randn() to get 640*480 = 307,200 samples. Since these are RANDOM, the mean will not necessarily be exactly at zero. Imagine if you asked for only 4 values. Would you expect the value to be at exactly zero:
>> r=randn(1, 4)
r =
-0.740261712090743 -0.384816596337627 -0.581927647800475 1.27720101511378
>> mean(r)
ans =
-0.107451235278765
See, not exactly zero even though randn() draws from a standard normal distribution.
I don't know how important it was to him to have a mean of exactly zero versus having random numbers drawn from a distribution. I'd imagine having the random numbers is fine and the fact that they don't have a mean of exactly zero doesn't really matter to him. If it did, he could subtract the mean or something like that.

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