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- W2730526020 abstract "A multiple model image estimation technique with its required steps of model design, edge detection, filtering, and model tuning is presented and compared with a moving window continuously adaptive technique. In the multiple model technique a new probabilistic decision rule is used for edge detection, while two dimensional reduced update Kalman filters perform the image estimation. In the moving window technique the minimization of a filtering error index and of a smoothing error index is used to identify the unknown parameters of fixed structure predictor-corrector type filters that perform the image estimation. Processed images are shown as examples." @default.
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- W2730526020 date "1982-06-01" @default.
- W2730526020 modified "2023-09-23" @default.
- W2730526020 title "Multiple Models for Nonstationary Image Estimation" @default.
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- W2730526020 doi "https://doi.org/10.1016/s1474-6670(17)63205-1" @default.
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