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
Link To Document :
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