Gaussian noise
Without noise
With Gaussian noise
In
In other words, the values that the noise can take are Gaussian-distributed.The probability density function of a Gaussian random variable is given by:
where represents the grey level, the mean grey value and its standard deviation.[3]
A special case is white Gaussian noise, in which the values at any pair of times are
uncorrelated). In communication channel testing and modelling, Gaussian noise is used as additive white noise to generate additive white Gaussian noise
.
In
computer networking, communication channels can be affected by wideband Gaussian noise coming from many natural sources, such as the thermal vibrations of atoms in conductors (referred to as thermal noise or Johnson–Nyquist noise), shot noise, black-body radiation
from the earth and other warm objects, and from celestial sources such as the Sun.
Gaussian noise in digital images
Principal sources of Gaussian noise in
See also
- Gaussian process
- Gaussian smoothing
References
- ^ .
- ^ Barry Truax, ed. (1999). "Handbook for Acoustic Ecology" (Second ed.). Cambridge Street Publishing. Archived from the original on 2017-10-10. Retrieved 2012-08-05.
- ^ a b Philippe Cattin (2012-04-24). "Image Restoration: Introduction to Signal and Image Processing". MIAC, University of Basel. Retrieved 11 October 2013.
- ^ Robert Fisher; Simon Perkins; Ashley Walker; Erik Wolfart. "Image Synthesis — Noise Generation". Retrieved 11 October 2013.