Digital Image Representation: How Computers Store Pixels and Colors

Every digital image you see on a screen is actually a complex arrangement of numbers stored in computer memory. Understanding how these visual elements translate into binary data is a fundamental skill for anyone entering computer science, web development, or digital media design. This text-based course guides you through the core mechanics of digital images, showing you exactly how computers process, store, and manipulate visual data at the machine level. What you'll learn: - Understand the foundational concepts of pixels, resolution, and bit depth. - Analyze how black-and-white, grayscale, and color images are mapped to binary code. - Explore standard color models, including RGB, CMYK, and modern wide-gamut spaces. - Compare lossless and lossy compression techniques, including modern formats like WebP. - Calculate image file sizes based on resolution, channels, and bit depth. You will start with basic terminology and binary fundamentals before moving on to color representation and modern compression standards. Through written explanations and practical calculation exercises, you will build a solid mental model of digital media storage. This course is designed for absolute beginners, including aspiring programmers, web developers, and digital creators, with no prior hardware or low-level programming experience required. Start reading today to demystify how computers work with visual media.