DocumentCode :
1511056
Title :
Voronoi Splines
Author :
Mirzargar, Mahsa ; Entezari, Alireza
Author_Institution :
Dept. of Comput. & Inf. Sci. & Eng., Univ. of Florida, Gainesville, FL, USA
Volume :
58
Issue :
9
fYear :
2010
Firstpage :
4572
Lastpage :
4582
Abstract :
We introduce a framework for construction of non-separable multivariate splines that are geometrically tailored for general sampling lattices. Voronoi splines are B-spline-like elements that inherit the geometry of a sampling lattice from its Voronoi cell and generate a lattice-shift-invariant spline space for approximation in Rd. The spline spaces associated with Voronoi splines have guaranteed approximation order and degree of continuity. By exploiting the geometric properties of Voronoi polytopes and zonotopes, we establish the relationship between Voronoi splines and box splines which are used for a closed-form characterization of the former. For Cartesian lattices, Voronoi splines coincide with tensor-product B-splines and for the 2-D hexagonal lattice, the proposed approach offers a reformulation of hex-splines in terms of multi-box splines. While the construction is for general multidimensional lattices, we particularly characterize bivariate and trivariate Voronoi splines for all 2-D and 3-D lattices and specifically study them for body centered cubic and face centered cubic lattices.
Keywords :
signal processing; splines (mathematics); 2-D hexagonal lattice; B-spline-like elements; Voronoi splines; hex-splines; multidimensional signal processing; nonseparable multivariate splines; spline spaces; Box splines; multidimensional signal processing; multivariate splines; non-separable reconstruction; optimal sampling lattices; sampling lattices; sphere packing lattices;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2010.2051808
Filename :
5482081
Link To Document :
بازگشت