<< back to libpipi

Gaussian kernels

The usual way to create a Gaussian kernel is to evaluate a Gaussian function at the center of each cell:

k[i][j] = exp(-(i²+j²)/2σ)

This usually works well, except when the kernel is thin (σ < 1). It gets worse when using our generalised kernel:

k[i][j] = exp(-((i×cosθ-j×sinθ-dx)²+(j×cosθ+i×sinθ-dy)²)/2σ)

Median filter

There are several ways to optimise a median filter.

Random links for now:

• ​Sliding median filter
• ​A shitload of papers about median filtering and its derivatives