ABSTRACT
Treating images as a grid of pixels and processing them in the spatial domain or pixel domain, as discussed in the previous chapter, is straightforward in implementation, generally conceptually clear, and can provide solutions to many problems. Converting an image to the Fourier domain offers additional capabilities that are very powerful, but requires learning some new ways of representing and interpreting data (except for people with a strong background in electrical engineering or acoustics, for whom thinking in terms of frequencies has become natural). This chapter presents the basics of the underlying math, but moves on quickly to the practical use of the Fourier domain for processing of images.
