Restoration of noisy images by the adaptive average differential iterative and the improved median filters

Author

Hoag Tang

Author_Institution

Dept. of Electron. Eng., La Trobe Univ., Bundoora, Vic., Australia

Volume

2

fYear

1993

fDate

19-21 Oct. 1993

Firstpage

1054

Abstract

In the literature there are many methods to restore noisy images. An adaptive differential iterative filter (AADIF) and an improved median filter (IMF) which suppress impulsive noise and Gaussian noise while preserving the image edges and details successfully, are analysed and evaluated in terms of their filtering performances under practical noise conditions. The signal-to-noise ratios in this experiment are from 0 dB to 17 dB. Besides the description of their algorithms, a great deal of experimental data are shown to support their efficacy. It is concluded that these two filters are highly competitive.<>

Keywords

edge detection; image reconstruction; Gaussian noise; adaptive average differential iterative filter; image edges; improved median filters; impulsive noise; noisy image restoration; signal-to-noise ratios; Adaptive filters; Additive noise; Cellular neural networks; Filtering; Fuzzy neural networks; Image restoration; Noise level; Pixel; Signal to noise ratio; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on

Conference_Location

Beijing, China

Print_ISBN

0-7803-1233-3

Type

conf

DOI

10.1109/TENCON.1993.320196

Filename

320196