• DocumentCode
    2813634
  • Title

    Image Denoising Algorithm via Doubly Bilateral Filtering

  • Author

    Zhou, Zuo-Feng ; Cao, Jian-Zhong ; Wang, Hao ; Liu, Wei-Hua

  • Author_Institution
    Xi´´an Inst. of Opt. & Precision Mech., Chinese Acad. of Sci., Xi´´an, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The classical bilateral filtering is a simple and effective non-iterative image denoising method in spatial domain which can smooth the noisy images while preserving edges well. To further improve the denoising performance, an image deonoising algorithm via doubly bilateral filtering is proposed. We first use the bilateral filtering to get the pilot image. Then, using the information of the pilot image, the second bilateral filtering is used to get the final denoised image. Experiment results show that the proposed image denoising algorithm achieves better performance than the classical bilateral filtering method.
  • Keywords
    filtering theory; image denoising; doubly bilateral filtering; noniterative image denoising method; pilot image; second bilateral filtering; spatial domain filtering; CMOS image sensors; Charge coupled devices; Charge-coupled image sensors; Filtering algorithms; Image denoising; Information filtering; Information filters; Noise reduction; Nonlinear filters; Optical filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5363149
  • Filename
    5363149