Color image processing using adaptive vector directional filters

Author

Plataniotis, K.N. ; Androutsos, D. ; Venetsanopoulos, A.N.

Author_Institution

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

Volume

45

Issue

10

fYear

1998

fDate

10/1/1998 12:00:00 AM

Firstpage

1414

Lastpage

1419

Abstract

A new class of filters for multichannel image processing is introduced and analyzed. This class constitutes a generalization of vector directional filters. The proposed filters use fuzzy transformations of the angles among the different vectors to adapt to local data in the image. The principle behind the new filters is explained and comparisons with other popular nonlinear filters are provided. The specific case of color image processing is studied as an important example of multichannel image processing. Simulation results indicate that the new filters offer some flexbility and have excellent performance

Keywords

adaptive filters; adaptive signal processing; colour; filtering theory; fuzzy set theory; image processing; nonlinear filters; adaptive vector directional filters; color image processing; fuzzy transformations; multichannel image processing; nonlinear filters; Adaptive filters; Color; Filtering; Gaussian noise; Image analysis; Image edge detection; Image processing; Noise level; Nonlinear filters; Smoothing methods;

fLanguage

English

Journal_Title

Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7130

Type

jour

DOI

10.1109/82.728854

Filename

728854