DocumentCode
699263
Title
Generalized vector medians for correlated channels
Author
Yinbo Li ; Arce, Gonzalo R. ; Bacca, Jan
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Delaware, Newark, DE, USA
fYear
2004
fDate
6-10 Sept. 2004
Firstpage
1895
Lastpage
1898
Abstract
Inspired by the maximum likelihood (ML) estimates of location in multivariate spaces, we introduce in this paper a new filtering structure capable of capturing and exploiting both spatial and cross-channel correlations embedded in the data. An adaptive optimization algorithm for a sub-optimal realization of the proposed generalized vector median (GVM) filter, namely the marginal GVM, is derived. The effectiveness of the algorithm is shown through a color image denoising experiment.
Keywords
maximum likelihood estimation; median filters; optimisation; GVM filter; ML estimation; adaptive optimization algorithm; color image denoising experiment; correlated channels; cross channel correlations; filtering structure; generalized vector median; generalized vector medians; maximum likelihood estimation; multivariate spaces; spatial correlations; suboptimal realization; Abstracts; Artificial intelligence; Correlation; Estimation; Noise measurement; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2004 12th European
Conference_Location
Vienna
Print_ISBN
978-320-0001-65-7
Type
conf
Filename
7079793
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