• DocumentCode
    247878
  • Title

    A model for estimating spectral properties of water from RGB images

  • Author

    Blasinski, H. ; Breneman, J. ; Farrell, J.

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    610
  • Lastpage
    614
  • Abstract
    This paper presents an underwater image formation model incorporating scatter and spectral absorption curves of pure water and three other particle classes; phytoplankton, non-algal particles and colored dissolved organic matter. We also describe an algorithm allowing to derive these depth dependent curves from a sequence of RGB images of a known target. Underwater images generated using the model closely resemble the experimental ones acquired in a variety of conditions. Similarly, the estimated absorption curves, and relative particle concentrations agree with common sense expectations.
  • Keywords
    geophysical image processing; image colour analysis; image sensors; image sequences; RGB images; absorption curves estimation; colored dissolved organic matter; nonalgal particles; phytoplankton; relative particle concentrations; scatter and spectral absorption curves; spectral properties estimation; underwater image formation model; Absorption; Atmospheric modeling; Cameras; Image color analysis; Mathematical model; Optimized production technology; Water; Absorption spectrum; colored dissolved organic matter; image formation models; non-algal particles; phytoplankton; scatter; underwater imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025122
  • Filename
    7025122