Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.941310
