• DocumentCode
    1570205
  • Title

    Variational computing based images denoising methods by using cellular neural networks

  • Author

    Gacsádi, Alexandru ; Szolgay, Péter

  • Author_Institution
    Electron. Dept., Univ. of Oradea, Oradea, Romania
  • fYear
    2009
  • Firstpage
    85
  • Lastpage
    88
  • Abstract
    The paper presents a new variation based image denoising method by using Cellular Neural Networks (CNN). Our proposed method offers better efficiency in terms of image denoising and edge preservation, comparing to other previous CNN methods based on variational model.
  • Keywords
    cellular neural nets; image denoising; variational techniques; cellular neural network; edge preservation; image denoising; variational computing; variational model; Additive noise; Cellular networks; Cellular neural networks; Computer networks; Gaussian noise; Image denoising; Image processing; Laboratories; Noise reduction; Partial differential equations; cellular neural networks; image denoising; variational;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuit Theory and Design, 2009. ECCTD 2009. European Conference on
  • Conference_Location
    Antalya
  • Print_ISBN
    978-1-4244-3896-9
  • Electronic_ISBN
    978-1-4244-3896-9
  • Type

    conf

  • DOI
    10.1109/ECCTD.2009.5274972
  • Filename
    5274972
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1570205