Alignment blur in coherently averaged images

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.