Howtosignalprocessing
What is Gaussian kernel smoothing?
The Gaussian smoothing operator is a 2-D convolution operator that is used to `blur' images and remove detail and noise. In this sense it is similar to the mean filter, but it uses a different kernel that represents the shape of a Gaussian (`bell-shaped') hump.
How does a smoothing kernel work?
Smoothing with the kernel
The basic process of smoothing is very simple. We proceed through the data point by point. For each data point we generate a new value that is some function of the original value at that point and the surrounding data points.
