"Preface We know what you are asking yourself. There are a lot of books available in image processing so what is novel in this book?' We can summarize the answer with the following points 1. This book is devoted to the issue of obtaining high-resolution images from single or multiple low-resolution images. 2. You always see different algorithms for image interpolation and super-resolution without a common thread between the two processes. This book presents interpolation as a building block in the super-resolution reconstruction process. 3. You see research papers on image interpolation either as a polynomial-based problem or an inverse problem without a comparison of the two trends. This book presents this comparison. 4. Two chapters are devoted to two complementary steps that are used to obtain high-resolution images. These steps are image registration and image fusion. 5. This book presents two directions for image super-resolution; super-resolution with a priori information and blind super-resolution. 6. This book presents applications for image interpolation and super-resolution in medical and satellite image processing. 7. MATLABʼ codes for most of the simulation experiments discussed in this book are included in Appendix D at the end of the book. Finally, we hope that this book will be helpful for the image processing community. MATLABʼ is a registered trademark of The MathWorks, Inc. For product information, please contact: The MathWorks, Inc. 3 Apple Hill Drive Natick, MA 01760-2098 USA Tel: 508-647-7000 Fax: 508-647-7001 E-mail: info@mathworks.com Web: www.mathworks.com"-- Provided by publisher.