Abstract: We proposed an Bayesian maximum Aposteriori (MAP) estimator with L-curve regularization for superresolution restoration which incorporated maximum Aposteriori and L-curve method. Experiments demonstrate that this method can effectively reduce and remove noise in the restoration of images, get good quality restoration images and has high super resolution performance.

Key words: superresolution, image restoration, maximum Apost eriori, L-curve