O-MOMS Supersampling routine (Scripts) Publisher's description
from Meng Wang
MOMS (maximal-order-minimal-support) functions give the least number of supports for a given approximation order L
MOMS (maximal-order-minimal-support) functions give the least number of supports for a given approximation order L. The stringent requirement of number of supports is critical to real-time signal processing, which is why sinc (the kernel that gives ideal reconstruction) is not used in practice. B-spline based interpolating kernels are usually used in spline interpolation. MOMS functions are constructed by b-spline functions. Here we provide an implementation of O-MOMS (optimal MOMS), which outperforms b-spline kernels of the same degree.
This implementation uses DTFT to compute the coefficients in the prefiltering step [Thevenaz 2000]. For boundary condition, we assume periodic, which is scheduled to be changed to mirroring in the next release.
Degrees of 0 through 5 are supported.
T. Blu et al.
Minimal Support Interpolators with Optimum Approximation Properties, ICIP 1998;
MOMS: Maximal-Order Interpolation of Minimal Support, IEEE Transactions on Image Processing Vol. 10, No.7, 2001;
Phillippe Thevenaz et al.
Interpolation Revisited, IEEE Transactions on Medical Imaging, Vol. 19, No. 7, 2000.
System Requirements:MATLAB 7.8 (R2009a)
Program Release Status: New Release
Program Install Support: Install and Uninstall