Vector directional filters-a new class of multichannel image processing filters

Author

Trahanias, P.E. ; Venetsanopoulos, A.N.

Author_Institution

Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada

Volume

2

Issue

4

fYear

1993

fDate

10/1/1993 12:00:00 AM

Firstpage

528

Lastpage

534

Abstract

Vector directional filters (VDF) for multichannel image processing are introduced and studied. These filters separate the processing of vector-valued signals into directional processing and magnitude processing. This provides a link between single-channel image processing where only magnitude processing is essentially performed, and multichannel image processing where both the direction and the magnitude of the image vectors play an important role in the resulting (processed) image. VDF find applications in satellite image data processing, color image processing, and multispectral biomedical image processing. Results are presented here for the case of color images, as an important example of multichannel image processing. It is shown that VDF can achieve very good filtering results for various noise source models

Keywords

filtering and prediction theory; image processing; vectors; color image processing; directional processing; magnitude processing; multichannel image processing; multispectral biomedical image processing; noise source models; satellite image data processing; vector directional filters; vector-valued signals; Biomedical image processing; Color; Data processing; Filtering; Filters; Image processing; Pixel; Satellites; Signal processing; Statistics;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.242362

Filename

242362