What does it mean by Adding Gaussian Noise to a 2D Image? [duplicate]

1. What does adding Gaussian noise do to an image?
2. What does adding Gaussian noise mean?
3. What is Gaussian distribution in image processing?

What does adding Gaussian noise do to an image?

Gaussian noise has a uniform distribution throughout the signal. A noisy image has pixels that are made up of the sum of their original pixel values plus a random Gaussian noise value. The probability distribution function for a Gaussian distribution has a bell shape.

What does adding Gaussian noise mean?

It means that the noise values are distributed in a normal Gaussian way. An example of a normal (Gaussian) distribution. The Gaussian noise is added to the original image.

What is Gaussian distribution in image processing?

Gaussian distributions are used to model the history of active pixels and to state whether they belong to background or foreground. According to the classification of the previous active pixel, the inactive pixels are also classified as a part of the background or foreground.