• DocumentCode
    2437509
  • Title

    Image Denoising Based on Independent Component Analysis

  • Author

    Jicheng, Liu ; Yi, Zhang

  • Author_Institution
    Inst. of Electr. & Inf. Eng., Daqing Pet. Inst., Daqing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    26-27 Aug. 2009
  • Firstpage
    18
  • Lastpage
    20
  • Abstract
    Independent component analysis (ICA) is a new method of blind source separation. A method of image denoising based on ICA is presented in this article. It can separate noisy mixed images effectively. The principle of ICA and FastICA algorithm based on negentropy criterion are introduced. The results of the experiments are given. The results show it can effectively denoising of images, and separation of mixed images.
  • Keywords
    blind source separation; image denoising; independent component analysis; FastICA algorithm; blind source separation; image denoising; independent component analysis; negentropy criterion; Cybernetics; Image analysis; Image denoising; Independent component analysis; Intelligent systems; Man machine systems; Matrix decomposition; Noise reduction; Petroleum; Vectors; ICA; Image de-noising; separation of noisy mixed images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
  • Conference_Location
    Hangzhou, Zhejiang
  • Print_ISBN
    978-0-7695-3752-8
  • Type

    conf

  • DOI
    10.1109/IHMSC.2009.12
  • Filename
    5335906
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2437509