• DocumentCode
    3620449
  • Title

    Using fast backpropagation algorithms for impulsive noise reduction from highly distorted images

  • Author

    E. Besdok;M. Alci;P. Civicioglu

  • Author_Institution
    Dept. of Comput. Eng., Erciyes Univ., Turkey
  • Volume
    2
  • fYear
    2003
  • fDate
    6/25/1905 12:00:00 AM
  • Firstpage
    940
  • Abstract
    A new impulsive noise elimination filter, which is based on fast backpropagation algorithms, is proposed in this paper. The simulation results show that the proposed filter achieves a superior performance over the other filters mentioned in this paper in the cases of being effective in noise suppression and detail preservation, especially when the noise density is high
  • Keywords
    "Backpropagation algorithms","Noise reduction","Filters","Pixel","Artificial neural networks","Jacobian matrices","Nonlinear distortion","Electronic mail","Noise generators","Intelligent networks"
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2003 IEEE 46th Midwest Symposium on
  • ISSN
    1548-3746
  • Print_ISBN
    0-7803-8294-3
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2003.1562441
  • Filename
    1562441
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3620449