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Improvement on performance of modified Hopfield neural network for image restoration

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3 Author(s)
Yi Sun ; Inst. of Image Process. & Pattern Recognition, Shanghai Jiaotong Univ. ; Jie-gu Li ; Song-Yu Yu

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

Published in:

Image Processing, IEEE Transactions on  (Volume:4 ,  Issue: 5 )

Date of Publication:

May 1995

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