The interest in nonlinear methods in signal processing is steadily increasing, since nowadays the advances in computational capacities make it possible to implement sophisticated nonlinear processing techniques which in turn allow remarkable improvements with respect to standard and well-consolidated linear processing approaches.
The aim of the book is to present a review of emerging new areas of interest involving nonlinear signal and image processing theories, techniques, and tools.
More than 30 leading researchers have contributed to this book covering the major topics relevant to nonlinear signal processing. These topics include recent theoretical contributions in different areas of digital filtering and a number of applications in genomics, speech analysis and synthesis, communication system, active noise control, digital watermarking, feature extraction, texture analysis, and color image processing.
The book is intended as a reference for recent advances and new applications of theories, techniques, and tools in the area of nonlinear signal processing. The target audience are graduate students and practitioners working on modern signal processing applications.
About the Author
Giovanni L. Sicuranza is Professor of Signal and Image Processing and head of the Image Processing Laboratory at the Dipartimento di Elettrotecnica Elettronica Informatica, University of Trieste (Italy), where he has given courses on analog circuits, digital circuits, and digital signal and image processing. He was also a teacher in European courses on image processing and analysis, and the organizer of the EURASIP course on Linear and Nonlinear Filtering of Multidimensional Signals (Trieste, Italy, 1990).His research interests include multidimensional digital filters, polynomial filters, processing of images and image sequences, image coding, and neural networks for signal processing. He has published a number of papers in international journals and conference proceedings. He contributed chapters for four books and is the co-editor of the books Multidimensional Processing of Video Signals, Kluwer Academic Publisher, 1992 and Nonlinear Image Processing, Academic Press, 2001.
Stephen Marshall received a first-class honours degree in electrical and electronic engineering from the University of Nottingham in 1979 and a Ph.D. degree in image processing from University of Strathclyde in 1989. In between, he worked at Plessey Office Systems, Nottingham, University of Paisley, and the University of Rhode Island, USA. In recent years, his research activities have been focused in the area of nonlinear image processing. He has pioneered new design techniques for morphological filters based on a class of iterative search techniques known as genetic algorithms. The resulting filters have been applied as four-dimensional operators to successfully restore old film archive material. The work is now the subject of a Scottish Enterprise, Proof of Concept Program, to commercialise these techniques. He has published over 100 conference and journal papers on these topics including IEE, IEEE, SPIE, SIAM, ICASSP, VIE, and EUSIPCO.