• DocumentCode
    2942714
  • Title

    Adaptive Vector Filtering with Low Computational Complexity for Image Sensor Applications

  • Author

    Li, Chunmei ; Kim, Kyu-Young ; Min, Young-Jae ; Kim, Chae-Sung ; Kim, Soo-Won

  • Author_Institution
    Dept. of Electron. Eng., Korea Univ., Seoul, South Korea
  • fYear
    2010
  • fDate
    19-21 June 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, a new adaptive vector filtering method with low computational complexity for image sensor applications is presented. The alternation between the ASDDF and the AVMF in the dependence on the order-statistics theory reduces the computational complexity. In addition, the proposed method provides excellent detection of noisy pixels and removes both chromatic and achromatic noisy pixels.
  • Keywords
    adaptive filters; computational complexity; image sensors; adaptive vector filtering method; computational complexity; image sensor; order statistic theory; Adaptive filters; Color; Colored noise; Computational complexity; Filtering algorithms; Filtering theory; Image edge detection; Image sensors; Signal processing; Variable speed drives;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Photonics and Optoelectronic (SOPO), 2010 Symposium on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4963-7
  • Electronic_ISBN
    978-1-4244-4964-4
  • Type

    conf

  • DOI
    10.1109/SOPO.2010.5504487
  • Filename
    5504487
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2942714