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Cross-view enhancement network for underwater images

  • Published:2023-05 Issue: Volume:121 Page:105952
  • ISSN:0952-1976
  • Container-title:Engineering Applications of Artificial Intelligence
  • language:en
  • Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhou JingchunORCID,Zhang Dehuan,Zhang Weishi

Funder

National Natural Science Foundation of China

Liaoning Provincial Natural Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference56 articles.

1. Frequency-tuned salient region detection;Achanta,2009

2. A revised underwater image formation model;Akkaynak,2018

3. Akkaynak, D., Treibitz, T., 2019. Sea-thru: A method for removing water from underwater images. In: Proc. of the IEEE Conf. on Comp. Vision and Pattern Recognit. pp. 1682–1691. http://dx.doi.org/10.1109/CVPR.2019.00178.

4. Color balance and fusion for underwater image enhancement;Ancuti;IEEE Trans. Image Process.,2018

5. Enhancing underwater images and videos by fusion;Ancuti,2012

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