• DocumentCode
    723928
  • Title

    Single image dehazing based on maximizing local contrast

  • Author

    Huiying Dong ; Changkai Zhao

  • Author_Institution
    Dept. of Inf. Eng., Shenyang Ligong Univ., Shenyang, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    6372
  • Lastpage
    6377
  • Abstract
    In order to restore visibility from a single degraded image, we propose a fast and efficient method based on local contrast maximization and atmospheric scattering model. According to the characteristics of outdoor imaging and the theory of graph cuts, the original method based on local contrast maximization was improved and optimized. We processed a number of degraded outdoor images to verify the effectiveness of our algorithm. The experimental results show that this method compared with the original has an advantage of processing speed, and it can be able to get a better dehazing output. Our method remarkably improves the stability and reliability of outdoor imaging devices.
  • Keywords
    graph theory; image restoration; atmospheric scattering model; degraded outdoor image; graph theory; local contrast maximization; outdoor imaging; reliability; single degraded image; single image dehazing; Atmospheric modeling; Image edge detection; Image restoration; Imaging; Mathematical model; Meteorology; Scattering; Dehazing; Graph-Cut; Maximizing local contrast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7161964
  • Filename
    7161964