Share Email Print

Optical Engineering

Superresolution performance for undersampled imagers
Author(s): Ronald G. Driggers; Keith A. Krapels; Steven Murrill; S. Susan Young; Matthew Thielke; Jonathan M. Schuler
Format Member Price Non-Member Price
PDF $20.00 $25.00

Paper Abstract

Enhancement of undersampled imager performance has been demonstrated using superresolution techniques. In these techniques, the optical flow of the scene or the relative subpixel shifts among various snapshots of the scene are calculated, and a high-resolution grid is populated with spatial data using various algorithms. Performance enhancement has been demonstrated for the case of a static image with the undersampled imager compared with a static image that has been acquired through a frame series in a dynamic scene. In this research, the performance is compared for four cases: static image with undersampled imager, static image with superresolution frame sequence, dynamic image with undersampled imager, and dynamic image with superresolution frame sequence.

Paper Details

Date Published: 1 January 2005
PDF: 9 pages
Opt. Eng. 44(1) 014002 doi: 10.1117/1.1829551
Published in: Optical Engineering Volume 44, Issue 1
Show Author Affiliations
Ronald G. Driggers, U.S. Army Night Vision & Electronic Sensors Direct (United States)
Keith A. Krapels, Office of Naval Research (United States)
Steven Murrill, Army Research Lab. (United States)
S. Susan Young, Army Research Lab. (United States)
Matthew Thielke, Army Research Lab. (United States)
Jonathan M. Schuler, Naval Research Lab. (United States)

© SPIE. Terms of Use
Back to Top