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In multi-frame Super-Resolution (SR) image reconstruction a single High-Resolution (HR) image is created from a sequence of Low-Resolution (LR) frames. This work considers stochastic regularized multi-frame SR image reconstruction from the data-fidelity point of view. In fact, a novel estimator named inv L1 norm is proposed for assuring fidelity to the measured data. This estimator presents the hybrid form of both 1 L error norm and logarithm ln. The introduced inv L1 norm is combined withdoi:10.1016/j.inffus.2010.11.005 fatcat:c2koxj3albfddmyfvflnaskrjq