Title :
Noise reduction in color video sequences using multichannel motion-compensated L-filter
Author :
Hassouni, Mohammed El ; Cherifi, Hocine
Author_Institution :
LIRSIA/LIRSA, Bourgogne Univ., Dijon, France
Abstract :
In this paper, a new multichannel spatio-temporal filter is described for color video sequences restoration with the presence of non-Gaussian zero-mean additive noise. To address this problem, we propose a multichannel L-filter optimized by the least mean Kurtosis (LMK) algorithm. Prior to filtering, motion compensation is performed by a robust simultaneous estimation for all color components using an affine linear model. Then, we apply the proposed filter to the reconstructed frames. Experiments were performed on real color video sequences, and performance comparisons have been made both in RGB and L*a*b* color spaces.
Keywords :
filtering theory; image colour analysis; image denoising; image sequences; least mean squares methods; motion compensation; video signal processing; affine linear model; color video sequences restoration; least mean Kurtosis algorithm; motion compensation; multichannel L-filter; multichannel spatio-temporal filter; noise reduction; non-Gaussian zero-mean additive noise; Additive noise; Colored noise; Degradation; Filtering; Image restoration; Motion compensation; Motion estimation; Noise reduction; Nonlinear filters; Video sequences;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1247258