Image Estimation Using Doubly Stochastic Gaussian Random Field Models
摘要：
The two-dimensional (2-D) doubly stochastic Gaussian (DSG) model was introduced by one of the authors to provide a complete model for spatial filters which adapt to the local structure in an image signal. Here we present the optimal estimator and 2-D fixed-lag smoother for this DSG model extending earlier work of Ackerson and Fu. As the optimal estimator has an exponentially growing state space, we investigate suboptimal estimators using both a tree and a decision-directed method. Experimental results are presented.
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DOI：
10.1109/TPAMI.1987.4767898
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年份：
1987
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1989
被引量：30
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