Interpolation by asymmetric, two-dimensional cubic convolution

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.

• Type: Conference
• Year: 2005
• Where: ICIP
• Authors: Jiazheng Shi, Stephen E. Reichenbach
• Keywords: ICIP 2005, Image Processing, Two-dimensional Cubic Convolution