For this activity, you will learn the definition of an image as it pertains to both humans and computers. Additionally, you will explore how a computer interprets and fully understands images.
Understand how computers comprehend instructions as binary digits, 1's and 0's.
Understand how images are comprehended and stored in a computer's memory.
Understand how multi-color images are comprehended by a computer.
Access or ability to use Google Colab notebooks
Intro to images worksheet
Writing utensil
Pixel - the small elements which comprise the contents of an image; the number of pixels in an image determines the size and resolution of the image.
Image - a composition of numerical pixel intensity representations organized in rows and columns that can be displayed with the listed pixel intensities.
RGB - the acronym for the three most common color channels, Red, Green, and Blue.
Bit - the smallest unit of information which contains only a single binary value, either True or False (1 or 0).
Images are all around us—on screens, in books, and even in the world we see everyday. But have you ever wondered how computers understand and display these images? At their core, images are made up of tiny colored squares called pixels, and each pixel is like a small 1x3 square containing values for Red, Green, and Blue (RGB). When combined in different amounts, these colors create every shade you see on a screen. Computers store images as a variable type known as tensors, which are like 3D grids of numbers representing these color images.
In this activity, you’ll explore how computers interpret images as data, breaking them down into their RGB components. You’ll also see how matrices, a key math concept, help organize this data, connecting what you’ve learned about numbers and grids to real-world technology. Understanding these ideas is important because they form the foundation of digital graphics, from video games and movies to medical imaging and satellite photos.
These concepts aren’t just for computers, they’re used in everyday life! When you take a photo on your phone, edit a picture, or even watch a movie, RGB pixels and matrices are working behind the scenes. Even self-driving cars use image tensors to "see" the road. By learning how images work, you’re unlocking the secrets behind the digital world and discovering how math and technology come together to create the visuals we rely on every day.
Review the How Do Computers Understand Images image carousel above.
Run through the Computer Image Comprehension - Google Colab Notebook to explore image comprehension and binary understanding.
As you work through the Colab notebook, read through and use the Computer Image Comprehension - Exploration Guide to gain an in-depth understanding of these concepts.
There are multitudes of available resources to assist in furthering your understanding of the concepts presented in this activity. The resources listed below are here to help you get started.