Restoration of images degraded by atmospheric turbulence by a least-squares method and a Markov process.
We present a two-step deconvolution method for restoring images degraded by atmospheric turbulence. The first step is linear space-invariant filtering, and the second step is a nonhomogeneous Markov process. This nonhomogeneous method preserves the discontinuities of the original image better than the homogeneous method does.
Granier
B
B
Figue
J
J
Réfrégier
P
P