A recursive algorithm for maximum likelihood-based identification of blur from multiple observations
نویسندگان
چکیده
منابع مشابه
A recursive algorithm for maximum likelihood-based identification of blur from multiple observations
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 func...
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A limitation of the existing maximum likelihood (ML) based methods for blur identi cation is that the estimate of blur is poor when the blurring is severe. In this paper, we propose an ML-based method for blur identi cation from multiple observations of a scene. When the relations among the blurring functions of these observations are known, we show that the estimate of blur obtained by using t...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 1998
ISSN: 1057-7149
DOI: 10.1109/83.701169