Nonlinear cumulant based adaptive filter for simultaneous removal of Gaussian and impulsive noises in images

Author

Ibrahim, Hosny M. ; Garieb, Reda R. ; Ibrahim, Aboulnasr H.

Author_Institution

Fac. of Eng., Assuit Univ., Egypt

Volume

3

fYear

2001

fDate

2001

Firstpage

1877

Abstract

This correspondence presents an edge-preserving higher order statistics (HOS) based filter called nonlinear cumulant based adaptive filter (NCBAF) for noise suppression in images. The NCBAF algorithm combines the linear (averaging) characteristics of the two-dimensional cumulant based adaptive enhancer (2DCBAE) and the nonlinear characteristics of the median filter. The proposed algorithm allows the simultaneous removal of impulsive and Gaussian noise types in images, processed in a single filtering pass. The performance of the proposed method is compared to the commonly used median filter and the 2DCBAE

Keywords

Gaussian noise; adaptive filters; filtering theory; higher order statistics; image processing; impulse noise; interference suppression; nonlinear filters; Gaussian noise; HOS; cumulant based adaptive filter; higher order statistics; image smoothing; impulsive noise; noise suppression; nonlinear filter; Adaptive filters; Additive noise; Filtering algorithms; Finite impulse response filter; Gaussian noise; Higher order statistics; Noise reduction; Nonlinear filters; Smoothing methods; Visual perception;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.941310

Filename

941310