Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Convolution

This video tutorial explains the process of applying convolution to an image to create a blurring effect using a Gaussian filter. It begins with an introduction to convolution and its applications, followed by steps to import and prepare an image using the Python Imaging Library (PIL). The tutorial then demonstrates how to create a 2D Gaussian filter using a probability density function (PDF) and apply it to the image using the convolve 2D function from Scipy. Finally, it shows how to plot the original and blurred images side by side using subplots.

Explain how the outer product of F(X) is used to create the Gaussian filter.

What steps are taken to plot both the original and blurred images side by side?