Quasi-interpolation on the Body Centered Cubic Lattice
A. Entezari, M. Mirzargar, L. Kalantari
In Computer Graphics Forum, 28(3), 2009.
Abstract: This paper introduces a quasi-interpolation method for reconstruction of data sampled on the Body Centered Cubic (BCC) lattice. The reconstructions based on this quasi-interpolation achieve the optimal approximation order offered by the shifts of the quintic box spline on the BCC lattice. We also present a local FIR filter that is used to filter the data for quasi-interpolation. We document the improved quality and fidelity of reconstructions after employing the introduced quasi-interpolation method. Finally the resulting quasi-interpolation on the BCC sampled data are compared to the corresponding quasi-interpolation method on the Cartesian sampled data.
Keyword(s): Numerical Analysis [G.1.1]: Approximation—Box Splines, Numerical Analysis [G.1.2]: Interpolation—Box Splines
Article URL: http://dx.doi.org/10.1111/j.1467-8659.2009.01446.x
BibTeX format:
@article{CGF:CGF1446,
  author = {A. Entezari and M. Mirzargar and L. Kalantari},
  title = {Quasi-interpolation on the Body Centered Cubic Lattice},
  journal = {Computer Graphics Forum},
  volume = {28},
  number = {3},
  pages = {1015--1022},
  year = {2009},
}
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