• DocumentCode
    2405016
  • Title

    Automatic removal of foreground occluder from multi-focus images

  • Author

    Yamashita, Atsushi ; Tsurumi, Fumiya ; Kaneko, Toru ; Asama, Hajime

  • Author_Institution
    Dept. of Precision Eng., Univ. of Tokyo, Bunkyo, Japan
  • fYear
    2012
  • fDate
    14-18 May 2012
  • Firstpage
    5410
  • Lastpage
    5416
  • Abstract
    View occluders influence the image quality of a subject when occluders exist between a camera and a subject. For example, a blurred fence image interrupts a subject when an image of a scene is captured by a camera through a fence. In this paper, we propose an automatic removal method of foreground occluders from images using multiple focusing. Our method automatically detects foreground occluder regions by using two images with and without flashlight. The influence of foreground occluders is estimated and overlapping effects of foreground occluders are removed by using multiple focus images. Experimental results show the effectiveness of the proposed method.
  • Keywords
    image processing; image sensors; automatic removal; camera; foreground occluder; image interruption; image quality; multifocus images; multiple focusing images; Cameras; Focusing; Image color analysis; Lenses; Noise; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2012 IEEE International Conference on
  • Conference_Location
    Saint Paul, MN
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4673-1403-9
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ICRA.2012.6224549
  • Filename
    6224549