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Super-resolution algorithms combine multiple low resolution images into a single high resolution image. They have received a lot of attention recently in various application domains such as HDTV, satellite imaging, and video surveillance. These techniques take advantage of the aliasing present in the input images to reconstruct high frequency information of the resulting image. One of the major challenges in such algorithms is a good alignment of the input images: subpixel precision is requireddoi:10.1109/icip.2008.4711837 dblp:conf/icip/VandewalleBDV08 fatcat:6mzu5f6o7bd5lgzzqlq6xzafa4