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International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem

GRMSE 2016: Geo-Spatial Knowledge and Intelligence pp 110–116Cite as

Red Preserving Algorithm for Underwater Imaging

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 699))

Abstract

The Gray World algorithm can remove the green or blue cast in underwater images. However, when one component of RGB is very little, it would lead to supersaturate and color distortion. In this paper, an improved Gray World algorithm, called Red Preserving is proposed. The minimum color component has been least changed, and the green or blue cast in the underwater images is suppressed. Experiments show that the proposed algorithm is simple and efficient. Compared to the classic Gray World algorithm, it can better suppress the cast and restore the images.

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Author information

Authors and Affiliations

  1. Guangxi Key Laboratory of Precision Navigation Technology and Application, Guilin University of Electronic Technology, Guilin, People’s Republic of China

    Chunbo Ma & Jun Ao

Authors
  1. Chunbo Ma
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  2. Jun Ao
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Corresponding author

Correspondence to Chunbo Ma .

Editor information

Editors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Hanning Yuan

  2. Beijing Institute of Technology, Beijing, China

    Jing Geng

  3. Wuhan University, Wuhan, China

    Fuling Bian

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© 2017 Springer Nature Singapore Pte Ltd.

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Cite this paper

Ma, C., Ao, J. (2017). Red Preserving Algorithm for Underwater Imaging. In: Yuan, H., Geng, J., Bian, F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-10-3969-0_13

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  • DOI: https://doi.org/10.1007/978-981-10-3969-0_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3968-3

  • Online ISBN: 978-981-10-3969-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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