Understanding Digital Images

Digital images are the foundation of computer vision, enabling the interpretation of visual data. This chapter explores the fundamentals of digital images, equipping you with the knowledge to work with them effectively in computer vision applications.

You will begin by examining the basic structure of digital images and their computational representation. This includes understanding pixels, resolution, and color models, which are essential for processing and analyzing images. The concept of image matrices will be introduced, where images are represented as grids of pixels, each with specific color values. This mathematical representation allows computers to process images using various algorithms.

Additionally, the chapter will guide you through the different types of image formats and their respective uses, highlighting the importance of choosing the right format for specific applications. You will also learn about the common transformations and operations that can be performed on digital images, such as scaling, rotation, and cropping, which are crucial for preparing images for further analysis.

By the end of this chapter, you will have a solid grasp of the building blocks of digital images and how to manipulate them, laying the foundation for more advanced topics in computer vision.