Applied Signal and Image Processing: Multidisciplinary Advancements

Applied Signal and Image Processing: Multidisciplinary Advancements

Rami Qahwaji (University of Bradford, UK), Roger Green (University of Warwick, UK) and Evor L. Hines (University of Warwick, UK)
Release Date: March, 2011|Copyright: © 2011 |Pages: 414
ISBN13: 9781609604776|ISBN10: 1609604776|EISBN13: 9781609604783|DOI: 10.4018/978-1-60960-477-6

Description

Image and signal processing techniques are receiving increasing interest because of their numerous real-world applications. Data is now available in different forms, different wavelengths, and even in different dimensions, creating the need for novel multidisciplinary solutions for automated data processing and analysis.

Applied Signal and Image Processing: Multidisciplinary Advancements highlights the growing multidisciplinary nature of signal and image processing by focusing on emerging applications and recent advances in well-established fields. This book covers state-or-the-art applications in both signal and image processing, which include optical communication and sensing, wireless communication management, face recognition and facial imaging, solar imaging and feature detection, fractal analysis, and video processing.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Automated solar feature detection
  • Blind equalization for broadband access
  • Data broadcast management in wireless communication
  • Facial image processing in computer vision
  • Moving face recognition
  • Novel signal processing algorithms
  • Optical Character Recognition
  • Real-time primary image processing
  • Signal processing for optical wireless communications and sensing
  • Space-time signal processing

Table of Contents and List of Contributors

Search this Book:
Reset

Preface

Image and signal processing techniques are receiving increasing interest because of their different applications in our daily life. We live in a world that is becoming more and more data rich. Today’s data is available in different forms (e.g. textual, visual, audio, etc) and in different wavelengths (e.g., x-rays, infra-red, radio, microwave, optical, etc) and even in different dimensions (e.g., 1-D textual and audio, 2-D images and videos, 3-D Graphics, etc.). This creates the need for novel multidisciplinary solutions for automated data processing and analysis, data associations, knowledge extraction, representation of spatial relations, time-based analysis, et cetera.

This inspired us to edit a book that highlights the growing multi-disciplinary nature of signal and image processing by focusing on some of the emerging applications and some of the recent advances in well-established fields. This book covers different state-of-the-art applications in both signal and image processing. The signal processing applications include recent advances in: optical communication and sensing, minimising interference signals in long range navigation receivers, suppression of electromagnetic fields, wireless communication management, broadband access equalisation, electronic nose, spectrometry, non-destructive testing, and application of the new low frequency array. The image processing applications include recent trends in: face recognition and facial imaging, solar imaging and feature detection, fractal analysis, real-time imaging, corneal imaging, video processing, 3-D reconstruction and Arabic optical character recognition. This book will also cover the state-of-the-art in the investigated topics and will identify open research problems that need to be resolved along with some future research directions.

We believe nothing represents this book better than the visionary words of Norbert Wiener (1894-1964)

“The most fruitful areas for growth of the sciences are those between established fields. Science has been increasingly the task of specialists, in fields which show a tendency to grow progressively narrower. Important work is delayed by the unavailability in one field of results that may have already become classical in the next field. It is these boundary regions of science that offer the richest opportunities to the qualified investigator.”

Finally, the editors would like to thank all the chapter authors and the reviewers. The sincere efforts and hard work of these people, made this book a reality.

Author(s)/Editor(s) Biography

Evor L. Hines joined the School of Engineering at Warwick in 1984. He was promoted to Reader in 2005 and to a personal chair in 2009. He obtained his DSc (Warwick) in 2007 and is a Fellow of both the Institute of Engineering and Technology and the Higher Education Academy, in addition to being a Chartered Engineer. His main research interest is concerned with intelligent systems and their applications. Most of the work has focused on artificial neural networks, genetic algorithms, fuzzy logic, neurofuzzy systems and genetic programming. Typical application areas include, inter alia, intelligent sensors such as the electronic nose, medicine, non-destructive testing, computer vision, and telecommunications. He has co-authored in excess of 230 articles and supervised over 30 research students in addition to currently leading the Information and Communication Technologies Research Group in the School of Engineering.

Indices