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

Author

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

Author_Institution

Fac. of Eng., Assiut Univ., Egypt

Volume

1

fYear

2001

fDate

2001

Firstpage

269

Abstract

This paper 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; adaptive signal processing; filtering theory; higher order statistics; image processing; impulse noise; nonlinear filters; Gaussian noise; HOS; NCBAF algorithm; averaging characteristics; edge-preserving higher order statistics; impulsive noise; linear characteristics; median filter; noise suppression; nonlinear characteristics; nonlinear cumulant based adaptive filter; performance; single filtering pass; two-dimensional cumulant based adaptive enhancer; Adaptive filters; Additive noise; Filtering; Finite impulse response filter; Gaussian noise; Higher order statistics; Large Hadron Collider; Noise reduction; Nonlinear filters; Visual perception;

fLanguage

English

Publisher

ieee

Conference_Titel

Radio Science Conference, 2001. NRSC 2001. Proceedings of the Eighteenth National

Conference_Location

Mansoura

Print_ISBN

977-5031-68-0

Type

conf

DOI

10.1109/NRSC.2001.929235

Filename

929235