Blurring of coherently averaged images due to imperfect alignment is studied, and two restoration methods are proposed and evaluated. It is shown that iterative realignment is more powerful than post-filtering in reducing blur. The value of averaging and restoration is illustrated on human subjects in noisy video sequences.
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