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?

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

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

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Explain the averaging process used in blurring an image.

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