Chaudhuri S. Super-Resolution Imaging

Kluwer, 2002. — 294 p.The field of image processing is now quite a mature one. Many important developments have taken place over the last three or four decades. It finds applications in many diverse areas and a plenty of new applications are being suggested on a regular basis. The bottom line of all image processing applications is that the quality of the input images should be good. Further, the area of interest in the digital picture should be represented at a sufficiently high spatial resolution. One way to increase this resolution is to go for a very high resolution CCD camera which is often not a viable option. Thus, a need for generating a super-resolution image from a set of low resolution observations was felt by the researchers and this book is an outcome of such an effort.
I, as the editor of the book, requested a team of authors to cover a wide range of problems and methods coming under the topic of superresolution imaging so that the readers get a survey of the present state of the field. I believe that the field super-resolution imaging has reached a first stage of maturity, justifying the timeliness of the book. We primarily concentrate on three different issues in this book – summarization of the existing results, exploration of new ideas, and preparation of ground for further investigations. I hope that the book will become a widely used general reference and that it will motivate further research in this topic and stimulate communication between mathematicians, scientists and practicing engineers. If the book serves to demonstrate that there is a basic need for further exploration in this topic, I would consider my goal of editing this book to have been achieved.
The book is addressed to a broad audience. The senior undergraduate and the graduate students in electrical engineering, computer science and mathematics disciplines may find it a good reference for their courses and seminars on image processing and computer vision. The academicians and the researchers at the universities and various laboratories may find it suitable to supplement their research interest. The practicing engineers will also find the book to be quite useful as the con tributing authors have discussed the methodologies in sufficient details so that they can be very easily implemented.
The book being very focused on a particular topic, it is mostly self contained. One does not require a very strong background in image processing to appreciate the contents of the book. However, some knowledge on image restoration would definitely help.Image Zooming: Use of Wavelets
Generalized Interpolation for Super-Resolution
High Resolution Image from Low Resolution Images
Super-Resolution Imaging Using Blur as a Cue
Super-Resolution via Image Warping
Resolution Enhancement using Multiple Apertures
Super-Resolution from Mutual Motion
Super-Resolution from Compressed Video
Super-Resolution: Limits and Beyond