Document Type
Article
Publication Date
8-2009
Publication Source
Optics Express
Abstract
In this paper, we present a scene-based nouniformity correction (NUC) method using a modified adaptive least mean square (LMS) algorithm with a novel gating operation on the updates. The gating is designed to significantly reduce ghosting artifacts produced by many scene-based NUC algorithms by halting updates when temporal variation is lacking. We define the algorithm and present a number of experimental results to demonstrate the efficacy of the proposed method in comparison to several previously published methods including other LMS and constant statistics based methods. The experimental results include simulated imagery and a real infrared image sequence. We show that the proposed method significantly reduces ghosting artifacts, but has a slightly longer convergence time.
Inclusive pages
14918-14933
ISBN/ISSN
1094-4087
Document Version
Published Version
Copyright
Copyright © 2009, OSA: The Optical Society
Publisher
OSA: The Optical Society
Volume
17
Peer Reviewed
yes
Issue
17
eCommons Citation
Hardie, Russell C.; Baxley, Frank Orion; Brys, Brandon J.; and Hytla, Patrick C., "Scene-Based Nonuniformity Correction with Reduced Ghosting Using a Gated LMS Algorithm" (2009). Electrical and Computer Engineering Faculty Publications. 57.
https://ecommons.udayton.edu/ece_fac_pub/57
Included in
Computer Engineering Commons, Optics Commons, Other Physics Commons, Signal Processing Commons
Comments
Optics Express is an open-access journal of OSA: The Optical Society. This article is licensed with the Creative Commons Attribution License (CC-BY) and must be attributed properly. Permission documentation is on file.