Research on underwater degraded image enhancement technology based on lightweight network

Zhikun Luo; Yifeng Zhu; Mingzhu Zhao

doi:10.1117/12.2685603

28 July 2023 Research on underwater degraded image enhancement technology based on lightweight network

Zhikun Luo, Yifeng Zhu, Mingzhu Zhao

Proceedings Volume 12716, Third International Conference on Digital Signal and Computer Communications (DSCC 2023); 127161O (2023) https://doi.org/10.1117/12.2685603
Event: Third International Conference on Digital Signal and Computer Communications (DSCC 2023), 2023, Xi'an, China

Abstract

The underwater imaging environment is relatively complex. The light in the water has blurred image edges, low overall contrast, and the objects in the water are difficult to recognize. This paper proposes a method based on depth learning and physical model to enhance the quality of underwater image. The enhanced image is obtained by building the module to calculate the important parameters of the model combined with the input. The experimental results show that the algorithm in this paper has faster processing speed and better imaging effect than traditional methods, and can correct the color deviation of underwater images.

Citation Download Citation

Zhikun Luo, Yifeng Zhu, and Mingzhu Zhao "Research on underwater degraded image enhancement technology based on lightweight network", Proc. SPIE 12716, Third International Conference on Digital Signal and Computer Communications (DSCC 2023), 127161O (28 July 2023); https://doi.org/10.1117/12.2685603

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