• 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