2nd edition. — IOP Publishing Ltd., 2016. — 201 p. — (IOP Series in Imaging Engineering). — ISBN 978-0-7503-1234-9.
This book is a textbook of MatLAB based exercises in all major topics of digital imaging: image digitization, digital image formation and computational imaging, image resampling and building continuous image models, image statistical charac terization and noise diagnostics, statistical image models and pattern formation, image correlators for detecting and localization of objects, image restoration and perfecting, image enhancement. The book is addressed to students, researchers and practitioners in imaging engineering and applications. Its goal is to help readers to master digital imaging on both fundamental theoretical and practical levels. It is based on courses that have been tauught by the author in Tel Aviv University and at a number of other Universities in Europe and Japan during last 15 years.
Preface to the second edition
Preface
Introduction
Image digitization
Digital image formation and computational imaging
Image resampling and building continuous image models
Image and noise statistical characterization and diagnostics
Statistical image models and pattern formation
Image correlators for detection and localization of objects
Methods of image perfecting
Methods of image enhancement