An adaptive approach for removing impulsive noise in digital images

Author

Kong, Haosong ; Guan, Ling

Author_Institution

Dept. of Electr. Eng., Sydney Univ., NSW, Australia

Volume

4

fYear

1996

fDate

7-10 May 1996

Firstpage

2287

Abstract

A new approach is proposed to eliminate impulsive noise with Gaussian or uniform random distribution in digital images. The method is based on impulse noise detection by means of a self-organizing neural network and a class of noise-exclusive adaptive filters. The filtering scheme presented can suppress impulse noise effectively as well as preserving image edges and fine details. Experimental results demonstrated that the performance of the noise-exclusive adaptive filters are superior to that of traditional median filter, central weighted median filter and multistage median filter

Keywords

Gaussian noise; adaptive filters; adaptive signal processing; filtering theory; image enhancement; self-organising feature maps; Gaussian distribution; adaptive approach; adaptive filtering; central weighted median filter; digital images; experimental results; fine detail preservation; image edge preservation; image enhancement; impulse noise detection; impulsive noise suppression; median filter; multistage median filter; noise exclusive adaptive filters; self-organizing neural network; uniform random distribution; Adaptive filters; Digital images; Filtering; Gaussian noise; Integrated circuit noise; Neural networks; Organizing; Pattern classification; Pixel; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.547738

Filename

547738