Literature DB >> 18290019

Improvement on performance of modified Hopfield neural network for image restoration.

Y Sun1, J G Li, S Y Yu.   

Abstract

By analyzing the same inequality ||u*||(1)=/<(1/2)trace(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.

Year:  1995        PMID: 18290019     DOI: 10.1109/83.382504

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  1 in total

1.  Geometric Regularized Hopfield Neural Network for Medical Image Enhancement.

Authors:  Fayadh Alenezi; K C Santosh
Journal:  Int J Biomed Imaging       Date:  2021-01-22
  1 in total

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