DocumentCode :
2127530
Title :
An adaptive motion-compensated filter using cumulants
Author :
Elhassouni, M. ; Chérifi, H. ; Aboutajdine, D.
Author_Institution :
Faculte des Sci., Univ. Mohammed V-Agdal, Rabat, Morocco
fYear :
2002
fDate :
2002
Firstpage :
267
Lastpage :
271
Abstract :
This paper deals with the use of higher order statistics (HOS) in a spatio-temporal filtering scheme to reduce noise in video sequences. Prior to filtering, motion compensation is performed by a robust estimator. Then, we apply a 3-D order statistic filter. Both stages are based on Kurtosis minimization. Experimental results on noisy real video sequences illustrate the efficiency of the proposed approach.
Keywords :
adaptive estimation; adaptive filters; filtering theory; higher order statistics; image sequences; noise; video signal processing; 3-D order statistic filter; HOS; Kurtosis minimization; adaptive motion-compensated filter; cumulants; higher order statistics; noisy real video sequences; robust estimator; spatio-temporal filtering; spatio-temporal noise filtering; Adaptive filters; Additive noise; Filtering; Motion compensation; Motion estimation; Noise robustness; Spatiotemporal phenomena; Statistics; Video sequences; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Video/Image Processing and Multimedia Communications 4th EURASIP-IEEE Region 8 International Symposium on VIPromCom
Print_ISBN :
953-7044-01-7
Type :
conf
DOI :
10.1109/VIPROM.2002.1026667
Filename :
1026667
Link To Document :
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