Digital Video Signal Processing: Fundamentals and Modern Codecs

Video data powers the modern digital world, but processing, compressing, and transmitting this massive amount of information requires specialized signal processing techniques. This course guides you through the foundational concepts of digital video representation, spatial-temporal sampling, motion estimation, and modern compression standards. You will develop a solid theoretical understanding and learn how to analyze core video processing algorithms. What you'll learn: Understand the fundamentals of analog and digital video signals, color spaces, and spatial-temporal sampling; Analyze motion estimation and compensation techniques used to reduce temporal redundancy; Explore modern video compression standards, including H.264, HEVC, and the fundamentals of AV1; Apply digital filtering techniques for video enhancement, denoising, and deinterlacing; Examine modern developments in video processing, such as deep learning-based super-resolution and streaming protocols. The course begins with essential terminology, mathematical representations of video signals, and sampling structures. You will then progress systematically through motion analysis, transform coding, standards-based compression, and modern enhancement algorithms through clear, text-based explanations and step-by-step mathematical breakdowns. This course is designed for engineering students, software developers, and technology enthusiasts who want to build a strong foundation in video technology. No prior advanced signal processing experience is required. Start reading today to unlock the mechanics of digital video.