Phase unwrapping is considered as the heart of the
digital elevation model reconstruction. In this paper a new phase
unwrapping algorithm is proposed based on Markov Random
Field. Morkov Random Field is used to model the relation
between the true phase and the wrapped phase. Efficient
objective function is proposed to satisfy the smoothness of the
true phase and the closeness between the true phase and wrapped
one. The congruence function is used to achieve the closeness.
Real and simulated images are used to prove the efficiency of the
algorithm. The results show that the algorithm is efficient and
gave a good result with high noise.