How to Make a Gaussian Filter?

1. What is a Gaussian filter?
2. What is Gaussian filter in Python?
3. How do you approximate a Gaussian filter?

What is a Gaussian filter?

In electronics and signal processing mainly in digital signal processing, a Gaussian filter is a filter whose impulse response is a Gaussian function (or an approximation to it, since a true Gaussian response would have infinite impulse response).

What is Gaussian filter in Python?

A Gaussian Filter is a low pass filter used for reducing noise (high frequency components) and blurring regions of an image. The filter is implemented as an Odd sized Symmetric Kernel (DIP version of a Matrix) which is passed through each pixel of the Region of Interest to get the desired effect.

How do you approximate a Gaussian filter?

The idea is pretty simple, blur the image multiple times using a box filter and it will approximate a Gaussian blur. The box filter convolution mask in 1D looks something like [1 1 1 1] * 0.25 , depending how large you want the blurring mask to be. Basically it just calculates the average value inside the mask.