9/14/2001
CS 461, Copyright G.D. Hager
Noise Models
•Noise is commonly modeled using the notion of “additive white noise.”
–Scalar example:  I(x) = I*(x) + n(x)
–Images: I(i,j,t) = I*(i,j,t) + n(i,j,t)
–Note that n(i,j,t) is independent of n(i’,j’,t’) unless i’=i,j’=j,t’=t.
–Typically we assume that n (noise) is independent of image location --- that is, it is i.i.d
Do a matlab example on scalar signal