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      Scene-based nonuniformity correction with reduced ghosting using a gated LMS algorithm.

      1 , , ,
      Optics express

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          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.

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          Author and article information

          Journal
          Opt Express
          Optics express
          1094-4087
          1094-4087
          Aug 17 2009
          : 17
          : 17
          Affiliations
          [1 ] Department of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH 45459-0232, USA. rhardie@udayton.edu
          Article
          184486
          19687971
          39675770-ec7c-454d-99aa-dfe101935f86
          History

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