In this paper, a simple and universal high-resolution image reconstruction algorithm of MAP based on regularized technique has been proposed. The algorithm gives the regularization for solving the problem of ill-posed functional and proposes a method for settling the regularized parameter which can be selected the regularized parameter adaptively, the algorithm via an iterative method, using the intermediate reconstruction results to constantly update for regularizing parameter and ultimately obtaining the reconstructed image. Experimental results were indicated that the algorithm can be based on different image sequence and confirmed the regularized parameter adaptively, which could be found the optimal solution, the applicability is relatively fine.
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