Document Type
Book Chapter
Publication Date
2010
Publication Source
Super-Resolution Imaging
Abstract
The spatial sampling rate of an imaging system is determined by the spacing of the detectors in the focal plane array (FPA). The spatial frequencies present in the image on the focal plane are band-limited by the optics. This is due to diffraction through a finite aperture. To guarantee that there will be no aliasing during image acquisiton, the Nyquist criterion dictates that the sampling rate must be greater than twice the cut-off frequency of the optics. However, optical designs involve a number of trade-offs and typical imaging systems are designed with some level of aliasing. We will refer to such systems as detector limited, as opposed to optically limited. Furthermore, with or without aliasing, imaging systems invariably suffer from diffraction blur, optical abberations, and noise. Multiframe super-resolution (SR) processing has proven to be successful in reducing aliasing and enhancing the resolution of images from detector limited imaging systems.
Inclusive pages
35-58
ISBN/ISSN
978-1-4398-1930-2
Document Version
Published Version
Copyright
Copyright © 2010 from "Super-Resolution Imaging," edited by Peyman Milanfar. Reproduced by permission of Taylor and Francis Group, LLC, a division of Informa plc. This material is strictly for personal use. For any other use, the user must contact Taylor & Francis directly at this address: permissions.mailbox@taylorandfrancis.com. Printing, photocopying and sharing via any means is a violation of copyright.
Publisher
Taylor and Francis / CRC Press
Peer Reviewed
yes
eCommons Citation
Hardie, Russell C., "Super-resolution Using Adaptive Wiener Filters" (2010). Electrical and Computer Engineering Faculty Publications. 77.
https://ecommons.udayton.edu/ece_fac_pub/77
Comments
Reproduced by permission of Taylor and Francis Group, LLC, a division of Informa plc. Any content used from this publication must be attributed properly. Permission documentation is on file.