Restoration of images distorted by systems of random time-varying impulse response

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Abstract
The problem of restoring a constant image distorted by a system of random time-varying impulse response is investigated. The restoration is based on the observed time-varying distorted image during a finite period of time. Three methods are considered. Restorations based on the average image and on the averaged spatial correlation of the image are discussed briefly. Restoration based on a finite number of image frames is examined in detail. We use an iterative method based on the minimum-variance unbiased estimation. A transformation that decorrelates the frames is used to reduce the computations.