Super-resolution algorithms reconstruct a high resolution image from a set of low resolution images of a scene. Recent advances in Super-Resolution techniques show trends towards robustness against outliers. Even under normal lighting condition, images may have motion outliers due to independent moving objects. In this article a new method for dealing moving objects is proposed, which those frames containing moving objects are identified using QR-Decomposition, a known method in Linear Algebra. This detection procedure comes between the registration and the reconstruction steps of super-resolution techniques. The detected frames as outlier frames will be dropped and hence the reconstruction step only works on other frames. The simulation results show the better performance of the proposed algorithm in compare with some other super-resolution methods.

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