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2004:
Van De Ville Dimitri; Blu Thierry; Unser Michael; Philips Wilfried; Lemahieu Ignace; Van de Walle Rik
Hex-splines: a novel spline family for hexagonal lattices.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society 2004;
13(
6):.
This paper proposes a new family of bivariate, nonseparable splines, called hex-splines, especially designed for hexagonal lattices. The starting point of the construction is the indicator function of the Voronoi cell, which is used to define in a natural way the first-order hex-spline. Higher order hex-splines are obtained by successive convolutions. A mathematical analysis of this new bivariate spline family is presented. In particular, we derive a closed form for a hex-spline of arbitrary order. We also discuss important properties, such as their Fourier transform and the fact they form a Riesz basis. We also highlight the approximation order. For conventional rectangular lattices, hex-splines revert to classical separable tensor-product B-splines. Finally, some prototypical applications and experimental results demonstrate the usefulness of hex-splines for handling hexagonally sampled data.
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