This paper formulates a two-dimensional, piecewise-cubic interpolator that accounts for non-separable and rotationally asymmetric scene statistics. The resulting kernel has five parameters and is designated 2D-5PCC. As a low-order polynomial with small spatial support, the kernel is easy to implement and efficient to apply. A closed-form solution, developed in this paper, yields the optimal parameter values for scene ensembles characterized by autocorrelation or power spectrum. Experiments indicate that 2D-5PCC yields higher fidelity interpolations than several other popular methods.
Interpolation by asymmetric, two-dimensional cubic convolution
01.01.2005
1315987 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Interpolation by Asymmetric, Two-Dimensional Cubic Convolution
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