In order to make it possible to apply the super-resolution reconstruction ( SRR) technology of images in real time and to improve the tolerance of registration errors,a fast and robust SRR algorithm based on Keren registration and interpolation is proposed. In this algorithm,registered low-resolution ( LR) images are mapped onto a high-resolution ( HR) grid according to their transform parameters,and the space pixels are filled iteratively via the template convolution to reconstruct a HR image. The proposed algorithm is finally compared with four existing SRR algorithms including the nonuniform interpolation,the projection onto convex sets,the robust iterative back projection and the structure-adaptive normalized convolution. The results show that the proposed algorithm is an effective,robust and fast SRR method for multi-frame images because it is insensitive to registration errors in a certain accuracy range with high reconstruction speed and quality.