Deep Learning CNN Convolutional Neural Networks with Python - Image Blurring 2

The video tutorial explains the concept of image blurring using a 3x3 averaging mask. It describes the process of designing a filter with 1/9 values and how it is applied to an image through a sliding window technique. The tutorial also covers advanced filtering techniques, including zero padding, and introduces non-uniform filters like the Gaussian filter, which is commonly used for noise reduction and image smoothing.

What is the process of generating a blurred image using a three by three averaging mask?

Describe the role of the center pixel in the averaging filter process.

Explain how the dot product is used in the context of image filtering.

In what scenarios might a non-uniform averaging filter be preferred over a uniform one?

What are the properties that must be maintained when designing an averaging filter?

What is the significance of the Gaussian filter in image processing?

How does the averaging filter contribute to denoising an image?