DocumentCode
786394
Title
Simultaneous iterative image restoration and evaluation of the regularization parameter
Author
Kang, M.G. ; Katsaggelos, A.K.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Northwestern Unv., Evanston, IL, USA
Volume
40
Issue
9
fYear
1992
fDate
9/1/1992 12:00:00 AM
Firstpage
2329
Lastpage
2334
Abstract
A nonlinear regularized iterative image restoration algorithm is proposed, according to which only the noise variance is assumed to be known in advance. The algorithm results from a set theoretic regularization approach, where a bound of the stabilizing functional, and therefore the regularization parameter, are updated at each iteration step. Sufficient conditions for the convergence of the algorithm are derived and experimental results are shown
Keywords
convergence of numerical methods; iterative methods; picture processing; random noise; additive white Gaussian noise; algorithm convergence; experimental results; noise variance; nonlinear regularized iterative image restoration algorithm; parameter evaluation; regularization parameter; stabilising functional bound; theoretic regularization approach; Bars; Hardware; Image restoration; Interpolation; Music; Performance evaluation; Psychology; Speech coding; Testing; Timbre;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.157234
Filename
157234
Link To Document