A new fuzzy-competitive algorithm for removing impulsive noises in digital images

Author

Harandi, Mehrtash T. ; Lucas, Craig

Author_Institution

Dept. of Electr. & Comput. Eng., Tehran Univ.

Volume

2

fYear

2004

fDate

1-3 Dec. 2004

Firstpage

1289

Lastpage

1293

Abstract

Images are often contaminated by impulse noise. The major drawback of median filtering and its variants - that are widely used for removing impulsive noise - is the blurring effect for large window sizes and low noise suppression for small window sizes. In this paper, a fuzzy-competitive algorithm for removing impulse noise in images is proposed. The proposed algorithm utilized fuzzy inference systems for impulse detection. The detected impulses are then removed using long-range correlation information in a competitive scheme. The experimental results show that the performance of our method in removing impulsive noises is better than that of most other state-of-the-art methods

Keywords

fuzzy reasoning; image denoising; median filters; digital image; fuzzy inference system; fuzzy-competitive algorithm; impulsive noise; median filtering; Decision making; Detectors; Digital filters; Digital images; Filtering; Fuzzy systems; Hybrid intelligent systems; Inference algorithms; Iterative algorithms; Nonlinear filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetics and Intelligent Systems, 2004 IEEE Conference on

Conference_Location

Singapore

Print_ISBN

0-7803-8643-4

Type

conf

DOI

10.1109/ICCIS.2004.1460777

Filename

1460777