Title :
Alignment blur in coherently averaged images
Author :
Monro, D.M. ; Simpson, D.M.
Author_Institution :
Sch. of Electr. Eng., Bath Univ., UK
fDate :
6/1/1996 12:00:00 AM
Abstract :
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
Keywords :
filtering theory; image restoration; image sequences; iterative methods; noise; video signal processing; alignment blur; blurr reduction; coherently averaged images; image restoration methods; iterative realignment; noisy video sequences; post-filtering; Costs; Covariance matrix; Eigenvalues and eigenfunctions; Filtering; Finite impulse response filter; Image restoration; Sampling methods; Signal processing; Signal processing algorithms; Signal restoration;
Journal_Title :
Signal Processing, IEEE Transactions on
