DocumentCode
776004
Title
Improvement on performance of modified Hopfield neural network for image restoration
Author
Yi Sun
Author_Institution
Inst. of Image Process. & Pattern Recognition, Shanghai Jiaotong Univ.
Volume
4
Issue
5
fYear
1995
fDate
5/1/1995 12:00:00 AM
Firstpage
688
Lastpage
692
Abstract
By analyzing the same inequality ||u*||1⩽½trace(T), the authors conclude that a severely blurred image is generally restored less accurately than a mildly blurred one by the modified Hopfield neural network. This conclusion is the opposite of the statement made in Paik and Katsaggelos (1992). The authors also propose an improved new algorithm. Simulation results show that the SNRs of the images restored by the algorithm are higher by 3 to 8 db than those restored by the algorithm in Paik and Katsaggelos and the streaks in the restored images are obviously suppressed by the algorithm
Keywords
Hopfield neural nets; image restoration; interference suppression; algorithm; image restoration; inequality; mildly blurred; modified Hopfield neural network; restored images; severely blurred image; streaks; Algorithm design and analysis; Equations; Hopfield neural networks; Image analysis; Image processing; Image reconstruction; Image restoration; Pattern recognition; Sun; Symmetric matrices;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.382504
Filename
382504
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