• DocumentCode
    2290449
  • Title

    A new image enhancement algorithm for low illumination environment

  • Author

    Zhao, Yanqin ; Fu, Xihui ; Wang, Zhenchong ; Fan, Guoliang

  • Author_Institution
    Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    625
  • Lastpage
    627
  • Abstract
    To improve the clearness of images captured in the low illumination environment, a new enhancement algorithm was presented based on the popular histogram equalization method. It can transform the histogram to the ordered shape to highlight the contrast of selected interest gray level and fit for the human visual. The experiment has shown that the new algorithm has lower mean square error and higher peak signal to noise ratio. So it can get better performance in dealing with the illumination images both in subjective and objective.
  • Keywords
    image enhancement; gray level; histogram equalization method; human visual; illumination environment; illumination image; image enhancement algorithm; mean square error; peak signal to noise ratio; Coal mining; Histograms; Humans; Image enhancement; Lighting; Pixel; Transforms; contrast; gray level; histogram; illumination; image enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5953297
  • Filename
    5953297