Most books on image processing devote a major portion of their contents to a presentation of Fourier transforms (e.g., Jain, 1989; Pratt, 1991; Gonzalez & Woods, 2001; Sonka et al., 2008). In part, this is due to the utility of working in frequency space to perform certain image processing and measurement operations. Many of these same operations can be performed on the spatial (pixel) domain image only with much greater computational effort. Another reason for the lengthy sections on these methods is that the authors frequently come from a background in electrical engineering and signal processing and so are familiar with the mathematics and the use of these methods for other types of signals, particularly the one-dimensional (timevarying) electrical signals that make up much of modern electronics.