L1-norm-based Image Super-resolution and Its Differential Statistical Model

A method for automatically estimating parameters is applied to the L1-norm-based image super-resolution reconstruction framework.The approach can get a stable result with model errors and can improve convergence.A novel explanation of L1-norm-based bilateral total variation(BTV) term is presented according to pixel differences statistics,combined with probability prior model.Superiority of BTV is validated using Kullback-Leibler distance.A theoretical analysis of the feasibility and the problems of super-resolution reconstruction are given using mixture prior distribution.