Novel denoising algorithm for obtaining a superresolved position estimation

Zeev Zalevsky, Yoav Shrot, Uriel Levy, David Mendelovic

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


We present a new algorithm that uses the randomness of the noise pattern to achieve high positioning accuracy by applying a modified averaging operation. Using the suggested approach, noise sensitivity of the positioning accuracy can be significantly reduced. This new improved algorithm can improve the performances of tracking systems used for military as well as civil applications. The concept is demonstrated theoretically as well as by optical experiment.

Original languageAmerican English
Pages (from-to)1350-1357
Number of pages8
JournalOptical Engineering
Issue number6
StatePublished - Jun 2002
Externally publishedYes


  • Averaging
  • Center of mass
  • Noise
  • Tracking


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