Multivariate ordering in color image filtering

Author

Pitas, Ioannis ; Tsakalides, Panagiotis

Author_Institution

Dept. of Electr. Eng., Thessaloniki Univ., Greece

Volume

1

Issue

3

fYear

1991

fDate

9/1/1991 12:00:00 AM

Firstpage

247

Abstract

Multivariate data ordering and its use in color image filtering are presented. Several of the filters presented are extensions of the single-channel filters based on order statistics. The statistical analysis of the marginal order statistics is presented for the p-dimensional case. A family of multichannel filters based on multivariate data ordering, such as the marginal median, the vector median, the marginal α-trimmed mean, and the multichannel modified trimmed mean filter, is described in detail. The performance of the marginal median and the vector median filters in impulsive noise filtering is investigated. Simulation examples of the filters under study are described

Keywords

filtering and prediction theory; picture processing; color image filtering; impulsive noise filtering; marginal α-trimmed mean filter; marginal median filter; marginal order statistics; modified trimmed mean filter; multichannel filters; multivariate data ordering; statistical analysis; vector median filters; Additive noise; Color; Digital images; Filtering; Filters; HDTV; Image processing; Random variables; Signal processing; Statistical analysis;

fLanguage

English

Journal_Title

Circuits and Systems for Video Technology, IEEE Transactions on

Publisher

ieee

ISSN

1051-8215

Type

jour

DOI

10.1109/76.97987

Filename

97987