A new blind deblurring model combines framelet transforms, minimax concave penalty, and reweighted l1 regularization, solved by a numerical algorithm and tested on standard images.
Nearly unbiased variable selection under minimax concave penalty.Annals of statistics, 38(2), pp.894-942
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Framelet-Based Blind Image Restoration with Minimax Concave Regularization
A new blind deblurring model combines framelet transforms, minimax concave penalty, and reweighted l1 regularization, solved by a numerical algorithm and tested on standard images.