Explore the fundamentals of Fast Fourier Transform (FFT) and its application in image compression in this 44-minute lecture from the Engineering Mathematics course at the University of Washington. Delve into topics such as natural images, computer-generated images, and the FFT calculation process. Examine practical image compression examples to understand the real-world applications of these concepts. Access supplementary materials including lecture notes and MATLAB code to enhance your learning experience. This lecture, part of a comprehensive engineering mathematics series, provides valuable insights for students and professionals interested in signal processing and data compression techniques.
Overview
Syllabus
Introduction
Natural Images
Clear Computer
Image Compression
FFT Calculation
Image Compression Examples
Taught by
Steve Brunton
