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

DOI: 10.1134/S105466180701021X

Cite this article as:
Åhlén, J., Sundgren, D. & Bengtsson, E. Pattern Recognit. Image Anal. (2007) 17: 170. doi:10.1134/S105466180701021X


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.

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