Abstract:In this work, we study the problem of non-blind image deconvolution and propose a novel recurrent network architecture that leads to very competitive restoration results of high image quality. Motivated by the computational efficiency and robustness of existing large scale linear solvers, we manage to express the solution to this problem as the solution of a series of adaptive non-negative leastsquares problems. This gives rise to our proposed Recurrent Least Squares Deconvolution Network (RLSDN) architecture,… Show more
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