Iterative Image Resolution Enhancement Using MAP Estimator
Peimin Yan, Wang Shuozhong · 2006
An iterative image resolution enhancement algorithm is presented based on a Bayesian MAP estimator. In order to speed up convergence and improve stability, additive regularization terms based on a set of exponentially varying weights and a least square criterion are added to the cost functional. Experimental results show that sufficient numbers of low-resolution frames and iterations are needed to produce a high-resolution image. However, excessive frames and iterations do not provide further improvement of the reconstructed image quality