DocumentCode
1057151
Title
Alignment blur in coherently averaged images
Author
Monro, D.M. ; Simpson, D.M.
Author_Institution
Sch. of Electr. Eng., Bath Univ., UK
Volume
44
Issue
6
fYear
1996
fDate
6/1/1996 12:00:00 AM
Firstpage
1596
Lastpage
1601
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;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.506630
Filename
506630
Link To Document