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Application of underwater hyperspectral data for color correction purposes
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis.
2007 (English)In: Pattern Recognition and Image Analysis, ISSN 1054-6618 (Print) 1555-6212 (Online), Vol. 17, no 1, 170-173 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2007. Vol. 17, no 1, 170-173 p.
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:uu:diva-12741DOI: 10.1134/S105466180701021XOAI: oai:DiVA.org:uu-12741DiVA: diva2:40510
Available from: 2008-01-11 Created: 2008-01-11 Last updated: 2018-01-12Bibliographically approved

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Bengtsson, Ewert

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