Smoothing Kernel

Tags

computer-graphics

The kernel for smoothing, defines the shape of the function that is used to take the average of the neighbouring points. Kernels are often synonymous with convolutional-filters.

Gaussian Kernel

A [see page 15, kernel] with the shape of the Gaussian distribution.

For example:

 1    1 2 1
----  2 4 2
 16   1 2 1

Remember a filter must sum to 1, that's why we divide by 16.