Hybrid Order Statistic Filter and Its Application to Image Restoration
Document Type
Article
Publication Date
2-2001
Publication Source
Applied Optics
Abstract
We introduce a new nonlinear filter for signal and image restoration, the hybrid order statistic (HOS) filter. Because it exploits both rank- and spatial-order information, the HOS realizes the advantages of nonlinear filters in edge preservation and reduction of impulsive noise components while retaining the ability of the linear filter to suppress Gaussian noise. We show that the HOS filter exhibits improved performance over both the linear Wiener and the nonlinear L filters in reducing mean-squared error in the presence of contaminated Gaussian noise. In many cases it also performs favorably compared with the Ll and rank-conditioned rank selection filters.
Inclusive pages
656-661
ISBN/ISSN
1559-128X
Publisher
OSA: The Optical Society
Volume
40
Peer Reviewed
yes
Issue
5
eCommons Citation
Thompson, Elizabeth A.; Hardie, Russell C.; and Barner, Kenneth E., "Hybrid Order Statistic Filter and Its Application to Image Restoration" (2001). Electrical and Computer Engineering Faculty Publications. 78.
https://ecommons.udayton.edu/ece_fac_pub/78
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