DocumentCode
1141009
Title
Deblurring subject to nonnegativity constraints
Author
Snyder, Donald L. ; Schulz, Timothy J. ; Sullivan, Joseph A O
Author_Institution
Dept. of Electr. Eng., Washington Univ., St. Louis, MO, USA
Volume
40
Issue
5
fYear
1992
fDate
5/1/1992 12:00:00 AM
Firstpage
1143
Lastpage
1150
Abstract
Csiszar´s I -divergence is used as a discrepancy measure for deblurring subject to the constraint that all functions involved are nonnegative. An iterative algorithm is proposed for minimizing this measure. It is shown that every function in the sequence is nonnegative and the sequence converges monotonically to a global minimum. Other properties of the algorithm are shown, including lower bounds on the improvement in the I -divergence at each step of the algorithm and on the difference between the I -difference at step k and at the limit point. A method for regularizing the solution is proposed
Keywords
iterative methods; picture processing; I-divergence; deblurring; discrepancy measure; image reconstruction; iterative algorithm; nonnegativity constraints; regularisation; Deconvolution; Integral equations; Iterative algorithms; Iterative methods; Kernel; Laboratories; Stochastic resonance;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.134477
Filename
134477
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