DocumentCode
1895340
Title
Robust video analysis: which statistics to use?
Author
El Hassouni, M. ; Cherifi, H. ; Aboutajdine, D.
Author_Institution
LIRSA Lab., Bourgogne Univ., Dijon
fYear
2005
fDate
17-20 July 2005
Firstpage
791
Lastpage
796
Abstract
The aim of this paper is to discuss which statistics are efficient when video sequences are highly corrupted by impulsive noise. Usually the Gaussian model is implicitly used for modelling the noise. Many papers in the literature use the Gaussian mixture as an alternative of this later for image and video processing (J.C. Brailean et al., 1995). No a priori assumption for the noise pdf will be considered. We will use higher-order statistics to improve the processing results instead of second order ones used in the Gaussian case. Experimentations show the effectiveness of the proposed approach
Keywords
higher order statistics; image sequences; impulse noise; video signal processing; higher-order statistics; impulsive noise; robust video analysis; video sequences; Additive noise; Filters; Gaussian noise; Higher order statistics; Laboratories; Motion estimation; Noise shaping; Robustness; Statistical analysis; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
Conference_Location
Novosibirsk
Print_ISBN
0-7803-9403-8
Type
conf
DOI
10.1109/SSP.2005.1628701
Filename
1628701
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