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Underwater Image Enhancement by Fusion

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Advanced Manufacturing and Automation VII (IWAMA 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 451))

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Abstract

Underwater images are suffered by several factors like color absorption, light scattering, and these lead to poor visibility and low contrast of an underwater image. Typical image restoration methods rely on the popular Dark Channel Prior. However, the result of the underwater image which has only been dealt with the restoration algorithm is still not ideal. In order to get better results, we introduce a new underwater image enhancement approach based on multi-scale fusion strategy in this paper. In our method, we first obtain the restored image on the base of underwater image model. Then we get the white balance and contrast enhancement image of the restored image respectively. Finally, these two derived inputs are blended by multi-scale fusion approach, using saturation and contrast metrics to weight each input. This algorithm reduces the execution time and can effectively enhance the underwater image. The experimental results demonstrate that our method can obtain better visual quality.

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Acknowledgements

This research was partially supported by the National Nature Science Foundation of China (Grant no. 51575332 and no. 61673252) and the key research project of Ministry of science and technology (Grant no. 2016YFC0302401).

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Authors and Affiliations

  1. Department of Mechanical Engineering and Automation, Shanghai University, Shanghai, China

    Can Zhang, Xu Zhang & Dawei Tu

Authors
  1. Can Zhang
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  2. Xu Zhang
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  3. Dawei Tu
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Corresponding author

Correspondence to Can Zhang .

Editor information

Editors and Affiliations

  1. Department of Production and Quality Engineering, Norwegian University of Science and Technology, Trondheim, Sør-Trøndelag Fylke, Norway

    Kesheng Wang

  2. School of Business, Plymouth University, Plymouth, United Kingdom

    Yi Wang

  3. Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, Sør-Trøndelag Fylke, Norway

    Jan Ola Strandhagen

  4. Shanghai Second Polytechnic University, Shanghai, China

    Tao Yu

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Zhang, C., Zhang, X., Tu, D. (2018). Underwater Image Enhancement by Fusion. In: Wang, K., Wang, Y., Strandhagen, J., Yu, T. (eds) Advanced Manufacturing and Automation VII. IWAMA 2017. Lecture Notes in Electrical Engineering, vol 451. Springer, Singapore. https://doi.org/10.1007/978-981-10-5768-7_8

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  • DOI: https://doi.org/10.1007/978-981-10-5768-7_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5767-0

  • Online ISBN: 978-981-10-5768-7

  • eBook Packages: EngineeringEngineering (R0)

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