Digital Image and Video Processing: Foundations and Applications

Visual data is at the heart of modern science, medicine, and entertainment, but understanding how to manipulate this data requires a firm grasp of underlying mathematical and technical principles. This course provides a clear path through the complexities of digital signals, showing you how pixels and frames are transformed into meaningful information. You will transition from seeing images as simple files to understanding them as complex signals that can be enhanced, compressed, and analyzed through precise digital operations. By the end of the course, you will be able to interpret visual data and apply processing techniques to solve real-world problems. What you'll learn: - Understand the fundamental concepts of sampling, quantization, and color representation in digital media. - Apply spatial and frequency domain filters to sharpen images and remove unwanted noise. - Master the principles of image restoration to fix blurred or degraded visual content. - Explore modern video compression standards and motion estimation techniques used in streaming. - Understand contemporary topics like AI-assisted image enhancement and high-dynamic-range (HDR) workflows. - Practice analyzing visual data across different spectra, including infrared and biomedical imaging. The course begins with essential terminology and the physics of light before moving into practical manipulation techniques, filtering, and the mechanics of video sequences. You will work through written explanations and code-based logic to solidify your understanding of how visual algorithms function. This course is designed for beginners interested in signal processing, data science, or visual technology, requiring no prior experience in image manipulation. Start your journey into the technical world of digital visual processing today.