• DocumentCode
    1799380
  • Title

    Removing rain and snow in a single image using saturation and visibility features

  • Author

    Soo-Chang Pei ; Yu-Tai Tsai ; Chen-Yu Lee

  • Author_Institution
    Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2014
  • fDate
    14-18 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Rain and snow are two of the major obstacles in processing the photograph captured in the outdoor bad weather conditions. Rain and snow will cause the performance of vision algorithm become worse. There are a lot of methods have been proposed to reduce the raindrops and snowflakes in video. However, how to remove rain and snow and keep the detail of the background in a single image is still quite challenging since it is hard to detect the pixels of rain and snow. In this paper, we proposed a new method based on features on saturation and visibility. The results show that it can achieve better performance than previous methods.
  • Keywords
    computer vision; rain; snow; video signal processing; photograph processing; rain pixel detection; rain removal; raindrop reduction; saturation feature; snow pixel detection; snow removal; snowflake reduction; video; visibility feature; vision algorithm; Computer vision; Conferences; Filtering algorithms; Image color analysis; Image edge detection; Rain; Snow; bad weather; outdoor vision; rain removal; singe image dehazing; snow removal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    1945-7871
  • Type

    conf

  • DOI
    10.1109/ICMEW.2014.6890551
  • Filename
    6890551