Share Email Print

Proceedings Paper

Super-resolution reconstruction and local area processing
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Super resolution reconstruction (SRR) improves resolution by increasing the effective sampling frequency. Target acquisition range increases but the amount of increase depends upon the relationship between the optical blur diameter and the detector size. Range improvement of up to 52% is possible. Modern systems digitize the scene into 12 or more bits but the display typically presents only 8 bits. Gray scale compression forces scene detail to fall into a gray level and thereby "disappear." Local area processing (LAP) readjusts the gray scale so that scene detail becomes discernible. Without LAP the target signature is small compared to the global scene dynamic range and this results in poor range performance. With LAP, the target contrast is large compared to the local background. The combination of SRR and LAP significantly increases range performance.

Paper Details

Date Published: 4 May 2007
PDF: 7 pages
Proc. SPIE 6543, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVIII, 65430E (4 May 2007); doi: 10.1117/12.724482
Show Author Affiliations
Gerald C. Holst, JCD Publishing (United States)
Eugene Cloud, DRS Technologies (United States)
Harry Lee, DRS Technologies (United States)
Teresa Pace, DRS Technologies (United States)
Drew Manville, DRS Technologies (United States)
James Puritz, DRS Technologies (United States)

Published in SPIE Proceedings Vol. 6543:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVIII
Gerald C. Holst, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?