Deep Learning CNN Convolutional Neural Networks with Python - Gray-Scale Images

The video tutorial explains how images are represented in computers, focusing on RGB and grayscale images. It describes the structure of images as grids of pixel values, with grayscale images having a single channel and pixel values ranging from 0 to 255. The tutorial also covers bit depth, explaining how 8-bit images have 256 possible values. Examples illustrate how different pixel values correspond to varying shades of gray. The video concludes with a discussion on binary representation of pixel values in images.

What does an 8-bit image represent in terms of pixel values?

Describe how different pixel values represent various intensities of gray levels in a grayscale image.

How are the minimum and maximum values represented in an 8-bit image?