Minimum Support Interpolators with Optimum Approximation Properties

Abstract- We investigate the functions of given approximation order L that have the smallest support. Those are shown to be linear combinations of the Bspline of degree .L - 1 and its L - 1 first derivatives. We then show how to And the functions that minimize the asymptotic approximation constant among this finite dimension space; in particular, a tractable induction relation is worked out. Using these functions instead of splines, we observe that the approximation error is dramatically reduced, not only in the limit when the sampling step tends to zero, but also for higher values up to the Shannon rate. Finally, we show that those optimal functions satisfy a scaling equation, although less simple than the usual two-scale difference equation.

• Type: Conference
• Year: 1998
• Where: ICIP
• Authors: Michael Unser, Philippe Thévenaz, Thierry Blu
• Keywords: Approximation Error, Asymptotic Approximation Constant, ICIP 1998, Image Processing, Optimal Functions