Abstract This project deals with restoration of images corrupted by additive gaussian noise. The algorithm used is based on optimal estimation using the properties of MRF’s (Markov Random Fields). The Problem While optimal estimation ( ) is the theoretically best restoration method, assuming a probabilistic model and under least mean square error, it demands very high calculation complexity, and is therefore not practical to implement due to limited computational...