An algorithm of reconstructing a high resolution image from noisy static low resolution was presented. It is suitable for the case where all images are taken from the similar conditions. Using the aliasing relationship between the high resolution image and the observed images, we described the reconstruction as a typical inverse problem of a linear system, constrained the ill conditions by regularization of total variation. The results of experiments demonstrate dramatic improvements both in spatial resolution and noise removal.