A New Adaptive Alpha-Trimmed Mean Filtering Approach

Author

Chi, Hai ; Sun, Fuchun ; Li, Qing ; Wu, Xiaoxiao

Author_Institution

Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing

Volume

2

fYear

0

fDate

0-0 0

Firstpage

10171

Lastpage

10174

Abstract

This paper presents a novel algorithm to restore the images corrupted by mixed noises like the combination of Gaussian noise and impulsive noise. It is based on the alpha-trimmed mean filter and uses symmetric specialty of noise model. Comparison of experiments´ results with the adaptive alpha-trimmed mean filter using asymptotic variance minimization shows that the proposed method has a comparable performance but with approximately twice filtering speed, easiness to implement and better robustness for the mixed noise model deviated from symmetric noise distribution

Keywords

Gaussian noise; image restoration; Gaussian noise; adaptive alpha-trimmed mean filtering; asymptotic variance minimization; image restoration; impulsive noise; symmetric noise distribution; Adaptive filters; Computer science; Filtering; Gaussian noise; Image restoration; Minimization methods; Noise robustness; Nonlinear filters; Statistics; Sun; Adaptive alpha-trimmed mean filter; Asymptotic variance; Nonlinear filter; Symmetric distribution;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713991

Filename

1713991