Novel denoising algorithm for obtaining a superresolved position estimation

Zeev Zalevsky; Yoav Shrot; Uriel Levy; David Mendelovic

doi:10.1117/1.1476938

Novel denoising algorithm for obtaining a superresolved position estimation

Zeev Zalevsky, Yoav Shrot, Uriel Levy, David Mendelovic

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

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 language	English
Pages (from-to)	1350-1357
Number of pages	8
Journal	Optical Engineering
Volume	41
Issue number	6
DOIs	https://doi.org/10.1117/1.1476938
State	Published - Jun 2002
Externally published	Yes

Keywords

Averaging
Center of mass
Noise
Tracking

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10.1117/1.1476938

Cite this

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abstract = "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.",

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AU - Levy, Uriel

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AB - 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.

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KW - Tracking

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Novel denoising algorithm for obtaining a superresolved position estimation

Abstract

Keywords

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