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 language | English |
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Pages (from-to) | 1628-1632 |
Number of pages | 5 |
Journal | Journal of Modern Optics |
Volume | 58 |
Issue number | 18 |
DOIs | |
State | Published - 20 Oct 2011 |
Keywords
- Gyrator transform
- Mean square error optimization
- Noise reduction
- Optimal filtering
- Wiener filter