Bengtsson, Ewert
- Centre for Image Analysis, Swedish University of Agricultural Sciences
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
UKÄ Subject classification
Computer graphics and computer vision
Publication identifier
- DOI: https://doi.org/10.1134/s105466180701021x
Permanent link to this page (URI)
https://res.slu.se/id/publ/17382