Design of Low-Artifact Interpolation Kernels by Means of Computer Algebra
Computer Vision and Pattern Recognition
2021-06-09 v1 Symbolic Computation
Image and Video Processing
Abstract
We present a number of new piecewise-polynomial kernels for image interpolation. The kernels are constructed by optimizing a measure of interpolation quality based on the magnitude of anisotropic artifacts. The kernel design process is performed symbolically using Mathematica computer algebra system. Experimental evaluation involving 14 image quality assessment methods demonstrates that our results compare favorably with the existing linear interpolators.
Keywords
Cite
@article{arxiv.2106.04104,
title = {Design of Low-Artifact Interpolation Kernels by Means of Computer Algebra},
author = {Peter Karpov},
journal= {arXiv preprint arXiv:2106.04104},
year = {2021}
}
Comments
22 pages, 6 figures