Adaptive Filtering Algorithm Using Long-Range Correlation for the Removal of Impulse Noise from Images

Author

Sun, Ji-ping ; Li, Ying-chun

Author_Institution

Sch. of Mech., Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing

Volume

2

fYear

0

fDate

0-0 0

Firstpage

9591

Lastpage

9594

Abstract

An adaptive filter using long-range correlation for the removal of impulse noise from images was proposed. Impulse noise was detected by the method of local extremum at first. Then the background mean square error between signal pixels and noise pixels was computed in the definite search range, and the filtering process was going by the adaptive weight method based on the value of background mean square error. At last, the filtering process was applied iteratively. Simulation results show that the proposed algorithm is superior to many exiting methods, being especially effective for the restoration of details that only have one pixel in width. When images are highly corrupted, the proposed algorithm is also effective

Keywords

adaptive filters; image denoising; image restoration; impulse noise; iterative methods; mean square error methods; median filters; adaptive filtering algorithm; adaptive weight method; background mean square error; image impulse noise removal; image restoration; iterative filtering; local extremum; long-range correlation; median filtering; noise pixels; signal pixels; Adaptive filters; Background noise; Computational modeling; Electronic mail; Filtering algorithms; Image restoration; Iterative algorithms; Mean square error methods; Signal processing; Sun; impulse noise; median filtering; the background mean square error;

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.2006.1713862

Filename

1713862