• DocumentCode
    2624285
  • Title

    Edge-Preserving Filtering for Grey and Color Image

  • Author

    Huang, Xing-Fang ; Zhang, Jiang-She

  • Author_Institution
    Dept. of Inf. Sci., Xi´´an Jiaotong Univ., Xi´´an, China
  • Volume
    5
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    139
  • Lastpage
    143
  • Abstract
    In this paper, we proposed a novel local adaptive noise reduction operator based on a location shifting procedure. The proposed method aims at removing noise from images while preserving features. Performance of the method is illustrated by simulation and real images which show an encouraging improvement compared with other methods. The other advantages of the proposed method are its non- iterative feature, explicit formulation, and, consequently, its numerical simplicity.
  • Keywords
    filtering theory; image colour analysis; image denoising; color image; edge-preserving filtering; explicit formulation; grey image; local adaptive noise reduction operator; location shifting procedure; noniterative feature; numerical simplicity; Adaptive filters; Clustering algorithms; Color; Filtering; Image denoising; Kernel; Low pass filters; Noise reduction; Noise robustness; Smoothing methods; bilateral filtering; denoising; kernel regression; mean shift filtering; median filtering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.631
  • Filename
    5170513