Information Theory Tools for Image Processing

Information Theory (IT) tools, widely used in many scientific fields such as engineering, physics, genetics, neuroscience, and many others, are also useful transversal tools in image processing. In this book, we present the basic concepts of IT and how they have been used in the image processing areas of registration, segmentation, video processing, and computational aesthetics. Some of the approaches presented, such as the application of mutual information to registration, are the state of the art in the field. All techniques presented in this book have been previously published in peer-reviewed conference proceedings or international journals. We have stressed here their common aspects, and presented them in an unified way, so to make clear to the reader which problems IT tools can help to solve, which specific tools to use, and how to apply them. The IT basics are presented so as to be self-contained in the book. The intended audiences are students and practitioners of image processing and related areas such as computer graphics and visualization. In addition, students and practitioners of IT will be interested in knowing about these applications. Table of Contents: Preface / Acknowledgments / Information Theory Basics / Image Registration / Image Segmentation / Video Key Frame Selection / Informational Aesthetics Measures / Bibliography / Authors' Biographies

Auteur

Miquel Feixas is an associate professor in Computer Science at the University of Girona, Spain. He received an M.Sc. in Theoretical Physics (1979) at the UAB (Universitat Autònoma de Barcelona) and a Ph.D. in Computer Science at the UPC (Universitat Politècnica de Catalunya, 2002). His research is focused on the application of Information Theory techniques to Radiosity, Global Illu mination, Viewpoint Selection, Scientific Visualization, Image Processing, Medical Imaging, and Computational Aesthetics. He has authored or co-authored more than fifty papers in his areas of re search. He acted as a reviewer for conferences in the field of computer graphics and image processing. He has participated in several European and Spanish research projects Anton Bardera is a lecturer in Computer Science at the University of Girona. He received a M.Sc. in Telecommunications engineering (2002) at the Universitat Politècnica de Catalunya and a Ph.D. in Computer Science (2008) at the University of Girona. His research interests include Image Processing, Information eory, and Biomedical Applications. He has authored or co-authored more than thirty papers in his areas of interest Jaume Rigau is an associate professor in Computer Science at the University of Girona. He re ceived an M.Sc. in Computer Science (1993) and a Ph.D. (2006) at the Universitat Politècnica de Catalunya. His research is focused on the application of Information eory to Computer Graph ics and Image Processing. He has co-authored more than thirty papers in his areas of research and participated in European and Spanish research projects. Qing Xu is currently a full professor with the School of Computer Science and Technology, Tianjin University, China, where he is the director of the Information Technology Research and Civil Aviation Applications Laboratory. He got a M.Sc. (1998) and a Ph.D. (2001) in Computer Science at Tianjin University. His research activities cover interdisciplinary fields related to Computer Graphics, Visualization and Visual Analytics, Digital Image/Video Processing, Information Theory and Fuzzy Techniques. He has been leading national, international cooperation and industrial research projects. e results of his research have result in sixty publications. He also serves for the program committee and/or reviewer of a number of conferences/journals in computer graphics, virtual realities, and image/video processing.

Contenu
Preface.- Acknowledgments.- Information Theory Basics.- Image Registration.- Image Segmentation.- Video Key Frame Selection.- Informational Aesthetics Measures.- Bibliography.- Authors' Biographies.