Unlock the power of Fourier methods for advanced imaging with this essential guide. Fourier Methods in Imaging provides a comprehensive introduction to the mathematical tools needed to model, analyze, and solve problems in linear imaging systems. Explore fundamental concepts from linear algebra to complex-valued vectors and functions. Delve into crucial transforms like Fourier, Hankel, and Radon, alongside their approximations. The book bridges continuous and discrete domains, detailing discrete Fourier transforms and linear filtering techniques including inverse, matched, and Wiener filters. Discover practical applications in optical imaging and holography. Perfect for students, engineers, and scientists seeking a unified mathematical framework for characterizing and understanding imaging systems through intuitive examples and graphical illustrations.