What does it mean by "Adding Gaussian Noise to a 2D Image"?

Question

As far as I understand,

Suppose, we have a 2D image of pixel resolution 200 x 300. That means, the image has 60000 pixels in it.

Now, we would generate $n$ random values and add those values to $n$ number of random pixels.

Now, my question is, what would make those $n$ values to look like Gaussian Random Values?

What would be the logic that I should use?

See also: https://dsp.stackexchange.com/questions/28915/white-noise-in-images — MBaz, Mar 17 '16 at 21:57
Please, when you have a question from Gonzalez book, i recommend you to cite this book in you questions. — Darleison Rodrigues, Mar 17 '16 at 23:51

score 2 · Accepted Answer · edited Apr 13 '17 at 12:47

2

You can find Gaussian noise generators in many image processing softwares.At each pixel, you add a realization from such random noise generators. You can look for more details at How to Generate White Gaussian Noise.

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edited Apr 13 '17 at 12:47

Community

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answered Mar 17 '16 at 21:58

Laurent Duval

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Is my understanding of Gaussian noise correct? – Mar 17 '16 at 22:25
It seems so, if $n$ is the number of pixels. – Laurent Duval Mar 18 '16 at 08:14
Image has 60000 pixels. Of which, I would add noise to $n$ pixels. That's why I am generating the same number of random-values. Am I right? – Mar 18 '16 at 09:23
Sounds correct. Generally the noise is zero-average, so yoou will need to choose the level of the noise, with a factor affecting the random numbers generated, for instance, by a unit-variance Gaussian. – Laurent Duval Mar 18 '16 at 09:46

What does it mean by "Adding Gaussian Noise to a 2D Image"?

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