Wiener filter in the gyrator domain

Hamootal Duadi, Zeev Zalevsky

Research output: Contribution to journalArticlepeer-review

Abstract

The Wiener filter is the optimal filter according to the minimal mean square error criterion. For data distorted by noise with given spectral density, the Wiener filter is the optimal filter for restoring the noisy image. In this paper we will define a gyrator convolution operator and its optical implementation. The new generalized gyrator Wiener filter was defined using the new operator. The new filter was compared to the conventional Wiener filter and showed improved performance. An improvement of up to 40 dB in the mean square error at the optimal rotation angle in comparison to the conventional Wiener filter is demonstrated.

Original languageEnglish
Pages (from-to)1628-1632
Number of pages5
JournalJournal of Modern Optics
Volume58
Issue number18
DOIs
StatePublished - 20 Oct 2011

Keywords

  • Gyrator transform
  • Mean square error optimization
  • Noise reduction
  • Optimal filtering
  • Wiener filter

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