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

Published in

Распознавание образов и анализ изображе... / Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications
2007, Volume: 17, number: 1, pages: 170-173
Publisher: Pleiades Publishing Ltd

SLU Authors

• Bengtsson, Ewert

  • Centre for Image Analysis, Swedish University of Agricultural Sciences
    

Permanent link to this page (URI)

https://res.slu.se/id/publ/17382