Gaussian noise in an image

Gaussian Noise is a statistical noise having a probability density function equal to normal distribution, also known as Gaussian Distribution. Random Gaussian function is added to Image function to generate this noise. It is also called as electronic noise because it arises in amplifiers or detectors.

1. How do I remove Gaussian noise from an image?
2. How do I know if my picture has a Gaussian noise?
3. How do you describe Gaussian noise?
4. How do I add white Gaussian noise to a picture?

How do I remove Gaussian noise from an image?

Removing Gaussian noise involves smoothing the inside distinct region of an image. For this classical linear filters such as the Gaussian filter reduces noise efficiently but blur the edges significantly.

How do I know if my picture has a Gaussian noise?

you can try a more simple approach of analyzing the histogram of the output image. If the noise is of Gaussian type, then the histograms are likely to look similar to Gaussian probability distribution function. also same like distributions like salt and pepper, gamma.

How do you describe Gaussian noise?

Gaussian noise, named after Carl Friedrich Gauss, is a term from signal processing theory denoting a kind of signal noise that has a probability density function (pdf) equal to that of the normal distribution (which is also known as the Gaussian distribution).

How do I add white Gaussian noise to a picture?

J = imnoise( I ,'gaussian', m ) adds Gaussian white noise with mean m and variance of 0.01. J = imnoise( I ,'gaussian', m , var_gauss ) adds Gaussian white noise with mean m and variance var_gauss .