Share Email Print

Proceedings Paper

Compressive sampling methods for superresolution imaging
Author(s): Yi-Chen Chuang; Richard Dudley; Michael A. Fiddy
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We investigate superresolution imaging using negative index metamaterials. Measurement of subwavelength scale features in the image domain is tedious and compressive sampling techniques are considered to alleviate this problem. A single detector (c.f. a single pixel camera geometry) is considered from which a high resolution image can be computed, which makes use of structured illumination for coding.

Paper Details

Date Published: 15 October 2012
PDF: 9 pages
Proc. SPIE 8500, Image Reconstruction from Incomplete Data VII, 850005 (15 October 2012); doi: 10.1117/12.930837
Show Author Affiliations
Yi-Chen Chuang, Nanyang Technological Univ. (Singapore)
Richard Dudley, Univ. of North Carolina at Charlotte (United States)
Michael A. Fiddy, Univ. of North Carolina at Charlotte (United States)

Published in SPIE Proceedings Vol. 8500:
Image Reconstruction from Incomplete Data VII
Philip J. Bones; Michael A. Fiddy; Rick P. Millane, Editor(s)

© SPIE. Terms of Use
Back to Top