Color image processing using adaptive multichannel filters

Author

Plataniotis, Konstantinos N. ; Androutsos, Dimitrios ; Vinayagamoorthy, Sri ; Venetsanopoulos, Anastasios N.

Author_Institution

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

Volume

6

Issue

7

fYear

1997

fDate

7/1/1997 12:00:00 AM

Firstpage

933

Lastpage

949

Abstract

New adaptive filters for color image processing are introduced and analyzed. The proposed adaptive methodology constitutes a unifying and powerful framework for multichannel signal processing. Using the proposed methodology, color image filtering problems are treated from a global viewpoint that readily yields and unifies previous, seemingly unrelated, results. The new filters utilize Bayesian techniques and nonparametric methodologies to adapt to local data in the color image. The principles behind the new filters are explained in detail. Simulation studies indicate that the new filters are computationally attractive and have excellent performance

Keywords

Bayes methods; adaptive filters; adaptive signal processing; filtering theory; image colour analysis; nonparametric statistics; Bayesian techniques; adaptive filters; adaptive methodology; adaptive multichannel filters; color image filtering; color image processing; local data; multichannel signal processing; nonparametric methodologies; performance; simulation studies; Adaptive filters; Additive noise; Colored noise; Filtering; Gaussian noise; Image analysis; Image color analysis; Image storage; Pixel; Signal processing;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.597269

Filename

597269