• DocumentCode
    3517808
  • Title

    Research on Wavelet Image Threshold De-noising

  • Author

    Zhen, Chenggang ; Su, Yingmei

  • Author_Institution
    Network Adm. Center, North China Electr. Power Univ., Baoding, China
  • fYear
    2010
  • fDate
    26-27 June 2010
  • Firstpage
    3
  • Lastpage
    6
  • Abstract
    The purpose of image denoising is to restore the original image from the observed noisy image, under the conditions of meeting the minimum mean-square error criteria. In this paper, it summarized the basic principles of the wavelet threshold de-noising and various factors that affect the denoising performace in a complete de-noising algorithms, and analyzed several commonly used threshold de-noising methods and experiment with the Lena image. It provided the basis of selection and improvement for the actual image processing de-noising method.
  • Keywords
    image denoising; wavelet transforms; image denoising; wavelet image threshold de-noising; Wavelet transformation; image denoising; wavelet threshold;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Power and Energy Engineering (ICFPEE), 2010 International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-7378-6
  • Electronic_ISBN
    978-1-4244-7379-3
  • Type

    conf

  • DOI
    10.1109/ICFPEE.2010.8
  • Filename
    5663329