Markov Model
Captures local dependencies.
Each pixel depends on neighborhood.
Example, 1D first order model
P(p1, p2, pn) =
P(p1)*P(p2|p1)*P(p3|p2,p1)*
= P(p1)*P(p2|p1)*
P(p3|p2)*P(p4|p3)*