27 September 2011 Sampling theorems and compressive sensing on the sphere
Author Affiliations +
Abstract
We discuss a novel sampling theorem on the sphere developed by McEwen & Wiaux recently through an association between the sphere and the torus. To represent a band-limited signal exactly, this new sampling theorem requires less than half the number of samples of other equiangular sampling theorems on the sphere, such as the canonical Driscoll & Healy sampling theorem. A reduction in the number of samples required to represent a band-limited signal on the sphere has important implications for compressive sensing, both in terms of the dimensionality and sparsity of signals. We illustrate the impact of this property with an inpainting problem on the sphere, where we show superior reconstruction performance when adopting the new sampling theorem.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jason D. McEwen, Gilles Puy, Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Van De Ville, and Yves Wiaux "Sampling theorems and compressive sensing on the sphere", Proc. SPIE 8138, Wavelets and Sparsity XIV, 81381F (27 September 2011); doi: 10.1117/12.893481; https://doi.org/10.1117/12.893481
PROCEEDINGS
9 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Hough transform-based 3D mesh retrieval
Proceedings of SPIE (November 01 2001)
Estimation algorithms with noisy frame coefficients
Proceedings of SPIE (September 19 2007)
Acoustic target models and phenomenology
Proceedings of SPIE (July 20 2000)
Real Time Considerations For DFT Algorithms
Proceedings of SPIE (November 27 1983)
Recognition of free-form shapes using spherical SOFMs
Proceedings of SPIE (December 26 2001)

Back to Top