Hybrid Order Statistic Filter and its Application to Image Restoration
Applied Optics, Vol. 40, Issue 5, pp. 656-661 (2001)
http://dx.doi.org/10.1364/AO.40.000656
Acrobat PDF (1712 KB)
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.
© 2001 Optical Society of America
[Optical Society of America ]
OCIS Codes
(100.2000) Image processing : Digital image processing
Citation
Elizabeth A. Thompson, Russell C. Hardie, and Kenneth E. Barner, "Hybrid Order Statistic Filter and its Application to Image Restoration," Appl. Opt. 40, 656-661 (2001)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-40-5-656
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription





OSA is a member of 