degradation model

The degradation model g(x,y) = (h*f)(x,y) + n(x,y) describes an observed image g as the unknown clean image f convolved with a point spread function h, plus additive noise n. In the frequency domain (via the convolution theorem and DFT linearity), G(u,v) = H(u,v)F(u,v) + N(u,v) -- the starting point every restoration method in this chapter works from.