• DocumentCode
    3409068
  • Title

    Correcting over-exposure in photographs

  • Author

    Guo, Dong ; Cheng, Yuan ; Zhuo, Shaojie ; Sim, Terence

  • Author_Institution
    Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    515
  • Lastpage
    521
  • Abstract
    This paper introduces a method to correct over-exposure in an existing photograph by recovering the color and lightness separately. First, the dynamic range of well exposed region is slightly compressed to make room for the recovered lightness of the over-exposed region. Then the lightness is recovered based on an over-exposure likelihood. The color of each pixel is corrected via neighborhood propagation and also based on the confidence of the original color. Previous methods make use of ratios between different color channels to recover the over-exposed ones, and thus can not handle regions where all three channels are over-exposed. In contrast, our method does not have this limitation. Our method is fully automatic and requires only one single input photo. We also provide users with the flexibility to control the amount of over-exposure correction. Experiment results demonstrate the effectiveness of the proposed method in correcting over-exposure.
  • Keywords
    image processing; photography; color recovery; dynamic range; lightness recovery; over-exposure correction; over-exposure likelihood; photographs; Automatic control; Color; Digital cameras; Dynamic range; Image coding; Layout; Optical propagation; Photography; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4244-6984-0
  • Type

    conf

  • DOI
    10.1109/CVPR.2010.5540170
  • Filename
    5540170