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A recursive algorithm for maximum likelihood-based identification of blur from multiple observations

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Title A recursive algorithm for maximum likelihood-based identification of blur from multiple observations
 
Creator CHAUDHURI, SUBHASIS
RAJAGOPALAN, AN
 
Subject image processing
maximum likelihood estimation
recursive estimation
 
Description A maximum likelihood-based method is proposed for blur identification from multiple observations of a scene. When the relations among the blurring functions are known, the estimate of blur obtained using the proposed method is very good. Since direct computation of the likelihood function becomes difficult as the number of images increases, we propose an algorithm to compute the likelihood function recursively.
 
Publisher IEEE
 
Date 2008-11-21T10:31:56Z
2011-11-25T12:46:48Z
2011-12-26T13:08:47Z
2011-12-27T05:34:08Z
2008-11-21T10:31:56Z
2011-11-25T12:46:48Z
2011-12-26T13:08:47Z
2011-12-27T05:34:08Z
1998
 
Type Article
 
Identifier IEEE Transactions on Image Processing 7(7), 1075-79
1057-7149
http://dx.doi.org/10.1109/83.701169
http://hdl.handle.net/10054/90
http://dspace.library.iitb.ac.in/xmlui/handle/10054/90
 
Language en_US