Subspace-based methods for image registration and super-resolution

Patrick Vandewalle, Loic Baboulaz, Pier Luigi Dragotti, Martin Vetterli
2008 2008 15th IEEE International Conference on Image Processing  
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 required
more » ... to enable accurate reconstruction. In this paper, we give an overview of some subspace techniques that address this problem. We first formulate super-resolution in a multichannel sampling framework with unknown offsets. Then, we present three registration methods: one approach using ideas from variable projections, one using a Fourier description of the aliased signals, and one using a spline description of the sampling kernel. The performance of the algorithms is evaluated in numerical simulations.
doi:10.1109/icip.2008.4711837 dblp:conf/icip/VandewalleBDV08 fatcat:6mzu5f6o7bd5lgzzqlq6xzafa4