# Gaussian noise: Image Processing

As we all know, Gaussian Noise follows Gaussian or Normal distribution, and that distribution follows a $$BELL$$ $$CURVE$$.

As we can see that most of the values are centered around the mean.

Now consider this image

When I add Gaussian noise to this image I get something like this

As we can see that the noise appears to be $$UNIFORMLY$$ $$DISTRIBUTED$$ throughout the image. There is no region where we can say that the noises concentrated around the mean value

So how can these be called Gaussian Noise?

The Code that I have used in octave is given below

 pkg load image;

I=rgb2gray(I);

J = imnoise(I,'gaussian',0.02);
K = medfilt2(J);
imshow(J);


• @HIRAKMONDAL Yes, where $N$ is the number of pixels. – orlp Dec 17 '19 at 18:09