Abstract | ||
---|---|---|
Super-resolution algorithms combine multiple low resolution images into a single high resolution image. They have received a lot of atten- tion 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 to enable accurate reconstruction. In this pa- per, 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 projec- tions, 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. |
Year | DOI | Venue |
---|---|---|
2008 | 10.1109/ICIP.2008.4711837 | San Diego, CA |
Keywords | Field | DocType |
Fourier transforms,image reconstruction,image registration,image resolution,splines (mathematics),aliased signal Fourier description,image reconstruction,image registration,kernel sampling spline description,multichannel sampling framework,subpixel precision,subspace-based method,super-resolution algorithm,Image registration,Image resolution,Image restoration,Spectral analysis,Spline functions | Kernel (linear algebra),Iterative reconstruction,Computer vision,Pattern recognition,Subspace topology,Computer science,Aliasing,Artificial intelligence,Subpixel rendering,Image restoration,Image resolution,Image registration | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4244-1764-3 | 978-1-4244-1764-3 | 3 |
PageRank | References | Authors |
0.41 | 7 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Patrick Vandewalle | 1 | 284 | 20.24 |
Loïc Baboulaz | 2 | 3 | 0.41 |
Dragotti, P.L. | 3 | 512 | 39.29 |
Martin Vetterli | 4 | 13926 | 2397.68 |