Data Science and Machine Learning (Theory and Projects) A to Z - Image Processing: Image Blurring 1

The video tutorial introduces image processing techniques, focusing on image blurring, also known as image smoothing. It explains how images are transformed pixel by pixel using patches and functions, with a detailed example of blurring a 4x4 grayscale image using a 3x3 filter. The process involves averaging pixel values within a window, moving the window across the image, and applying zero padding for edge pixels. The tutorial concludes with a promise to explore more about image blurring in the next video.

How does the window size affect the blurring process?

What steps are involved in scanning the entire image for blurring?

What is zero padding and how is it used in image processing?

Explain the averaging process used in blurring an image.