Blurring of coherently averaged images due to imperfect alignment is s
tudied, 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 illustrate
d on human subjects in noisy video sequences.