Poon T., Banerjee P. Contemporary Optical Image Processing with MatLAB

Oxford: Elsevier, 2001. — 271 p. — ISBN13: 978-0-08052982-0.This book serves two purposes: first to introduce the readers to the concepts of geometrical optics, physical optics and techniques of optical imaging and image processing, and secondly, to provide them with experience in modeling the theory and applications using a commonly used software tool MatLAB. It is a comprehensively revised and updated version of the authors' previous book Principles of Applied Optics.
A sizeable portion of this book is based on the authors' own in-class presentations, as well as research in the area. Emphasis is placed on physical principles, on innovative ways of analyzing ray and wave propagation through optical systems using matrix and FFT methods that can be easily implemented using MatLAB. The reason MatLAB is emphasized is because of the fact that it is now a widely accepted software tool, which is very routinely used in signal processing. Furthermore, MatLAB is now commonly available in PC or workstation clusters in most universities, and student versions of it (Version 5) are available at the price of an average hardback textbook. Although student versions of MatLAB do have limitations compared with the professional version, they are nevertheless very powerful for array and matrix manipulation, for performing FFTs and for easy graphing. MatLAB code is very concise and complex mathematical operations can be performed using only a few lines of code. In our book we provide several examples of analysis of optical systems using MatLAB and list MatLAB programs for the benefit of readers. Since optical processing concepts are based on two dimensional linear system theories for the most part, we feel that this approach provides a natural bridge between traditional optics specialists and the signal and digital image processing community. We stress however that we have chosen to use MatLAB as a supplement rather than a replacement of traditional analysis techniques. Along with traditional problems, we have included a set of computer exercises at the end of each chapter. Taking this approach enables instructors to teach the concepts without committing to the use of MatLAB alone.