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Technical Program
Paper Detail
| Paper: | WA-P7.2 |
| Session: | Interpolation, Super-Resolution and Demosaicking |
| Time: | Wednesday, October 11, 09:40 - 12:20 |
| Presentation: |
Poster
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| Title: |
TOMOGRAPHIC APPROACH FOR SAMPLING MULTIDIMENSIONAL SIGNALS WITH FINITE RATE OF INNOVATION |
| Authors: |
Pancham Shukla; Imperial College London | | | | | Pier Luigi Dragotti; Imperial College London | | |
| Abstract: |
Recently, it was shown that it is possible to sample classes of 1-D and 2-D signal with finite rate of innovation (FRI) [9,4,5,3,2,7]. In particular, in [7], we presented local and global schemes for sampling sets of Diracs and bilevel polygons using compactly supported kernels that reproduce polynomials. In sequel to [7], in this paper, we present a Radon transform based hybrid scheme for sampling more general 2-D FRI signals such as piecewise polynomials with polygonal boundaries, and higher dimensional Diracs and bilevel polytopes. The key feature of the proposed scheme is an annihilating-filter-based-back-projection (AFBP) algorithm. |
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