Linked Life Data

19687971

Source:http://linkedlifedata.com/resource/pubmed/id/19687971

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
17
pubmed:dateCreated
2009-8-18
pubmed:abstractText
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.
pubmed:language
eng
pubmed:journal
pubmed:status
PubMed-not-MEDLINE
pubmed:month
Aug
pubmed:issn
1094-4087
pubmed:author
pubmed:copyrightInfo
(c) 2009 Optical Society of America
pubmed:issnType
Electronic
pubmed:day
17
pubmed:volume
17
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
14918-33
pubmed:year
2009
pubmed:articleTitle
Scene-based nonuniformity correction with reduced ghosting using a gated LMS algorithm.
pubmed:affiliation
Department of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH 45459-0232, USA. rhardie@udayton.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S.