Title

Hybrid Order Statistic Filter and its Application to Image Restoration

Document Type

Article

Publication Date

2-10-2001

Publication Source

Applied Optics

Volume

40

Issue

5

Inclusive pages

656-661

DOI

http://dx.doi.org/10.1364/AO.40.000656

Publisher

Optical Society of America

Place of Publication

United States

ISBN/ISSN

1559-128X

Peer Reviewed

yes

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.

Disciplines

Engineering

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