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Issue No.02 - February (1987 vol.9)
pp: 245-253
John W. Woods , Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180.
Subrahmanyam Dravida , Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180; AT&T Bell Laboratories, Crawfords Corner Road, Holmdel, NJ 077
Ricardo Mediavilla , Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180; AT&T Bell Laboratories, North Andover, MA 01845.
ABSTRACT
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.
CITATION
John W. Woods, Subrahmanyam Dravida, Ricardo Mediavilla, "Image Estimation Using Doubly Stochastic Gaussian Random Field Models", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.9, no. 2, pp. 245-253, February 1987, doi:10.1109/TPAMI.1987.4767898
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