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

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.

Publisher

OSA: The Optical Society

Volume

17

Issue

17

Peer Reviewed

yes

Link to published version

Share

COinS