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Title: A recursive algorithm for maximum likelihood-based identification of blur from multiple observations
Keywords: Image Processing
Maximum Likelihood Estimation
Recursive Estimation
Issue Date: 1998
Publisher: IEEE
Citation: IEEE Transactions on Image Processing 7(7), 1075-79
Abstract: 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.
ISSN: 1057-7149
Appears in Collections:Article

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