• DocumentCode
    595264
  • Title

    Removal of dust artifacts in focal stack image sequences

  • Author

    Chen Li ; Kun Zhou ; Lin, Shunjiang

  • Author_Institution
    Zhejiang Univ., Hangzhou, China
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    2602
  • Lastpage
    2605
  • Abstract
    We propose a technique for removing the appearance of sensor dust in a focal stack image sequence captured with multiple focus settings. Our method is based on the key observation that sensor dust artifacts shift in image position with respect to focus setting, which allows scene information occluded by dust in one image to be inferred from other images in the focal stack. To deal with complications arising from differences in local defocus blur among the images, we analyze the relative blur among corresponding image regions in detecting and removing dust artifacts. Our results show improvements over the state-of-art technique for automatic removal of sensor dust.
  • Keywords
    dust; image denoising; image restoration; image sensors; image sequences; natural scenes; object detection; optical focusing; dust artifact detection; focal stack image sequence; focus setting; image position shift; local defocus blur image; scene information occlusion; sensor dust artifacts shift; Cameras; Image sequences; Integrated optics; Lenses; Optical imaging; Optical sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460700