A noise-exclusive adaptive filtering framework for removing impulse noise in digital images

Author

Kong, H. ; Guan, L.

Author_Institution

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

Volume

45

Issue

3

fYear

1998

fDate

3/1/1998 12:00:00 AM

Firstpage

422

Lastpage

428

Abstract

A class of noise-exclusive adaptive filters for removing impulse noise from digital images is developed and analyzed in this brief. The filtering scheme is based on noise detection using a self-organizing neural network and noise excluding estimation. These filters suppress impulse noise effectively while preserving fine image details. Applications of the filters to several images show that their properties of efficient impulse noise suppression, edges and fine detail preservation, minimum signal distortion, or minimum mean square error are better than those of the traditional median-type filters

Keywords

adaptive filters; digital filters; image coding; interference suppression; self-organising feature maps; detail preservation; digital images; impulse noise; mean square error; noise detection; noise excluding estimation; noise suppression; noise-exclusive adaptive filtering framework; self-organizing neural network; signal distortion; Adaptive arrays; Adaptive filters; Circuits; Degradation; Digital filters; Digital images; Image coding; Image converters; Neural networks; Signal processing;

fLanguage

English

Journal_Title

Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7130

Type

jour

DOI

10.1109/82.664255

Filename

664255