Pattern Recognition and Image Analysis

, Volume 17, Issue 1, pp 170–173

Application of underwater hyperspectral data for color correction purposes

  • J. Åhlén
  • D. Sundgren
  • E. Bengtsson
Application Problems

Abstract

Color correction of underwater images has been considered a difficult task for a number of reasons. Those include severe absorption of the water column, the unpredictable behavior of light under the water surface, limited access to reliable data for correction purposes, and the fact that we are only able to process three spectral channels, which is insufficient for most color correction applications. Here, the authors present a method to estimate a hyperspectral image from an RGB image and pointwise hyperspectral data. This is then used to color correct the hyperspectral underwater image and transform it back into RGB color space.

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References

  1. 1.
    Calculations Using Beer’s Law, November, 2002, url: http://www.oceansonline.com/beersJaw.htm.
  2. 2.
    P. Stigell, K. Miyata, and M. Hauta-Kasari, “Wiener Estimation Method in Estimation of Spectral Reflectance from rgb Images,” in Proceedings of the 7th International Conference on Pattern Recognition and Image Analysis, 2004 (PRIA-7-2004), St. Petersburg, Russia, October 18–23, 2004, pp. 398–401.Google Scholar
  3. 3.
    Reef Relief a Non-Profit Grassroots Membership Organization Dedicated to Preserve and Project Living Coral Reef Ecosystems through Local, Regional and International Efforts, url: http://www.reefrelief.org, August 2004.
  4. 4.
    K. E. Spaulding, G. J. Woolge, and E. J. Giorgianni, “Optimizied Extended Gamut Color Encodings for Scene-Referred and Output-Referred Image States,” Journal Imaging Science Technology 45(5), 418–426 (2001).Google Scholar
  5. 5.
    Spectralon, Reflectance Material for Component Fabrication, January, 2005, Labsphere, url: http://www.labshere.com/products.asp.
  6. 6.
    Ocean optics, August, 2004, url: http://www.oceanoptics.org/products/usb2000.asp.
  7. 7.
    M. Vrhel, E. Saber, H. J. Trussell, “Color Image Generation and Display Technologies,” IEEE Signal Processing Magazine 22(1), 23–33 (2005).CrossRefGoogle Scholar
  8. 8.
    J. Åhlén, E. Bengtsson, and T. Lindell, “Color Correction of Underwater Images Based on Estimation of Diffuse Attenuation Coefficients,” in Proceedings of PICS Conference, An International Technical Conference on the Science and Systems of Digital Photography including the Fifth International Symposium on Multispectral Color Science, Rochester, NY, 13–16 May, 2003.Google Scholar
  9. 9.
    J. Åhlén, “Improvement of a Color Correction Algorithm for Underwater Images Through Compensating for Digital Camera Behavior,” in Proceedings of Swedish Symposium on Image Analysis, Uppsala, Sweden, March, 2004, pp. 142–145.Google Scholar
  10. 10.
    H. Hamid Mohammed and F. Bergholm, “Sensitivity Analysis of Multi-Channel Images Intended for Spectrometry Applications,” 2005 (Submitted for publication).Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2007

Authors and Affiliations

  • J. Åhlén
    • 1
  • D. Sundgren
    • 2
  • E. Bengtsson
    • 3
  1. 1.Uppsala University, Centre for Image AnalysisUniversity of GävleGävleSweden
  2. 2.Department of Computer and Systems Sciences, KTH, DSVRoyal Institute of TechnologyKistaSweden
  3. 3.Centre for Image AnalysisUppsala UniversityUppsalaSweden

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