Title
Subspace-based methods for image registration and super-resolution
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 Vandewalle128420.24
Loïc Baboulaz230.41
Dragotti, P.L.351239.29
Martin Vetterli4139262397.68