Gaussian Noise In DIP (CSE)
Gaussian Noise In DIP (CSE)
Gaussian Noise:
Because of its mathematical tractability in
both the spatial and frequency domains, Gaussian (also called normal) noise
models are used frequently in practice.
In
fact, this tractability is so convenient that it often result. Gaussian models
being used in situation in which they are marginally applicable at best.
The
PDF of Gaussian random variable, z, is given by
……(1)
Where,
z = Gray levels
µ = Mean value of z
= Variance of z
Fig. gaussian Noise
A plot
of this function is shown in fig. When z is described by equation(1),
approximately 70% of its values will be in the range [(µ-σ),(µ+σ)] and about
95% will be in the rande [(µ-2σ),(µ+2σ)].
Gaussion
Noise is generated due to
·
Electronic circuit noise
·
In sensor noise due to poor
illumination
·
Sensor noise due to high temperature.