| Super-Resolution Imaging Contributor(s): Milanfar, Peyman (Editor) |
|
 |
ISBN: 1439819300 ISBN-13: 9781439819302 Publisher: CRC Press OUR PRICE: $209.00 Product Type: Hardcover - Other Formats Published: September 2010 Annotation: With contributions from the very top researchers focusing of their areas of expertise, this book functions as the definitive overview of the field of super-resolution imaging. Written by the leading researchers in the field of image and video super solution, it surveys the latest state of the art techniques in super-resolution imaging. Each detailed chapter provides coverage of the implementations and applications of super-resolution imaging. Its 14 sections span a wide range of modern super-resolution imaging techniques and includes variational, Bayesian, feature-based, multi-channel, learning-based, locally adaptive, and nonparametric methods. It discusses, among others, medical, military, and microscopy applications. |
| Additional Information |
| BISAC Categories: - Science | Physics - Optics & Light - Technology & Engineering | Imaging Systems - Computers | Computer Graphics |
| Dewey: 621.367 |
| LCCN: 2010031499 |
| Series: Digital Imaging and Computer Vision |
| Physical Information: 1.17" H x 6.67" W x 9.4" (1.84 lbs) 496 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: With the exponential increase in computing power and broad proliferation of digital cameras, super-resolution imaging is poised to become the next killer app. The growing interest in this technology has manifested itself in an explosion of literature on the subject. Super-Resolution Imaging consolidates key recent research contributions from eminent scholars and practitioners in this area and serves as a starting point for exploration into the state of the art in the field. It describes the latest in both theoretical and practical aspects of direct relevance to academia and industry, providing a base of understanding for future progress. Features downloadable tools to supplement material found in the book Recent advances in camera sensor technology have led to an increasingly larger number of pixels being crammed into ever-smaller spaces. This has resulted in an overall decline in the visual quality of recorded content, necessitating improvement of images through the use of post-processing. Providing a snapshot of the cutting edge in super-resolution imaging, this book focuses on methods and techniques to improve images and video beyond the capabilities of the sensors that acquired them. It covers:
The book concludes by concentrating on multidisciplinary applications of super-resolution for a variety of fields. It covers a wide range of super-resolution imaging implementation techniques, including variational, feature-based, multi-channel, learning-based, locally adaptive, and nonparametric methods. This versatile book can be used as the basis for short courses for engineers and scientists, or as part of graduate-level courses in image processing. |