A combinatorial interpretation of Gaussian blur
Combinatorics
2020-11-18 v3
Abstract
Gaussian blur is a commonly-used method to filter image data. This paper introduces the collapsing sum, a new operator on matrices that provides a combinatorial interpretation of Gaussian blur. We study the combinatorial properties of this operator and prove the explicit relation between Gaussian blur and the collapsing sum.
Cite
@article{arxiv.1812.03569,
title = {A combinatorial interpretation of Gaussian blur},
author = {Travis Dillon},
journal= {arXiv preprint arXiv:1812.03569},
year = {2020}
}
Comments
11 pages