• DocumentCode
    50083
  • Title

    Variational Approach for the Fusion of Exposure Bracketed Pairs

  • Author

    Bertalmio, Marcelo ; Levine, S.

  • Author_Institution
    Dept. de Tecnologoas de la Informacion y las Comun., Univ. Pompeu Fabra, Barcelona, Spain
  • Volume
    22
  • Issue
    2
  • fYear
    2013
  • fDate
    Feb. 2013
  • Firstpage
    712
  • Lastpage
    723
  • Abstract
    When taking pictures of a dark scene with artificial lighting, ambient light is not sufficient for most cameras to obtain both accurate color and detail information. The exposure bracketing feature usually available in many camera models enables the user to obtain a series of pictures taken in rapid succession with different exposure times; the implicit idea is that the user picks the best image from this set. But in many cases, none of these images is good enough; in general, good brightness and color information are retained from longer-exposure settings, whereas sharp details are obtained from shorter ones. In this paper, we propose a variational method for automatically combining an exposure-bracketed pair of images within a single picture that reflects the desired properties of each one. We introduce an energy functional consisting of two terms, one measuring the difference in edge information with the short-exposure image and the other measuring the local color difference with a warped version of the long-exposure image. This method is able to handle camera and subject motion as well as noise, and the results compare favorably with the state of the art.
  • Keywords
    cameras; image colour analysis; image fusion; variational techniques; ambient light; artificial lighting; brightness; camera models; color information; edge information; energy functional method; exposure bracketed pair fusion; exposure bracketing feature pair; local color difference measurement; long-exposure image; short-exposure image; variational approach; Cameras; Colored noise; Histograms; Image color analysis; Mathematical model; Noise reduction; Color transfer; image denoising; image fusion; variational methods;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2012.2221730
  • Filename
    6319403