Multichannel adaptive L-filters in color image filtering

Author

Kotropoulos, Constantine ; Pitas, Ioannis ; Gabrani, Maria

Author_Institution

Dept. of Inf., Aristotle Univ. of Thessaloniki, Greece

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

989

Abstract

Three novel adaptive multichannel L-filters based on marginal data ordering are proposed. They rely on well-known algorithms for the unconstrained minimization of the mean squared error (MSE), namely, the least mean squares (LMS), the normalized LMS (NLMS) and the LMS-Newton (LMSN) algorithm. Performance comparisons in color image filtering have been made both in RGB and U^*V^*W^* color spaces. The proposed adaptive multichannel L-filters outperform the other candidates in noise suppression for color images corrupted by mixed impulsive and additive white contaminated Gaussian noise

Keywords

Gaussian noise; Newton method; adaptive filters; adaptive signal processing; filtering theory; image colour analysis; least mean squares methods; nonlinear filters; white noise; LMS algorithm; LMS-Newton algorithm; MSE; NLMS algorithm; RGB color space; U^*V^*W^* color space; adaptive signal processing; additive white contaminated Gaussian noise; color image filtering; impulsive noise; least mean squares; marginal data ordering; mean squared error; multichannel adaptive L-filters; noise suppression; nonlinear filter; normalized LMS; performance comparisons; unconstrained minimization; Adaptive filters; Color; Colored noise; Filtering; Gaussian noise; Least squares approximation; Minimization methods; Noise cancellation; Nonlinear filters; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.559667

Filename

559667