Restoration of an image distorted by a system of random impulse response is studied in the presence of additive measurement noise. Iterative methods that are based on modifications of the Wiener and the minimum-variance-unbiased (MVU) estimation methodologies are investigated. These estimators are nonlinear. Using an example of an image distorted by diffraction-limited blur accompanied by impulse-response noise as well as measurement noise, it is found that the iterative MVU estimator outperforms other estimators.
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Ward et al. (1985) studied this question.
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