• DocumentCode
    3708099
  • Title

    Adaptive exposure fusion for high dynamic range imaging

  • Author

    Sidhdharthkumar Patel;Dimitrios Androutsos;Matthew Kyan

  • Author_Institution
    Ryerson University, Department of Electrical and Computer Engineering, 350 Victoria Street, Toronto, Ontario, Canada M5B 2K3
  • fYear
    2015
  • Firstpage
    4679
  • Lastpage
    4683
  • Abstract
    This paper proposes a novel exposure fusion algorithm that directly fuses exposure bracketed shots into a displayable image. Most techniques targeted for direct fusion do not have an effective exposure control mechanism that can compensate for the limitations in the human visual system (HVS). The proposed algorithm offers a novel approach that adaptively adjusts its parameter for the best viewing experience. Changing the parameter adaptively aims to mitigate the perceptual loss of details caused by Weber´s effect, brightening the dark regions while darkening the bright regions. The proposed method yields a perceptually detailed image when compared against other methods of similar nature.
  • Keywords
    "Cameras","Mathematical model","Fuses","Image color analysis","Dynamic range","Brightness"
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICIP.2015.7351694
  • Filename
    7351694