Adaptive Regularized MAP Super-Resolution Reconstruction Method
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Abstract
A new adaptive regularized super-resolution reconstruction method for digital image sequence is introduced.In this method,the super-resolution problem is approached from a MAP estimation framework,and a technique to determine the regularization parameter adaptively is presented.The proposed method is tested on simulated image sequence and real image sequence.Experiment results indicate that this method is better than the conventional reconstruction methods on both visual judgment and objective statistical analysis.
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