Scattered Light Compensation Combined with Color Preservation and Contrast Balance for Underwater Image Enhancement

NING Zemeng; LIN Sen; LI Xingran

doi:10.11993/j.issn.2096-3920.2023-0131

Volume 32 Issue 5

Oct 2024

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NING Zemeng, LIN Sen, LI Xingran. Scattered Light Compensation Combined with Color Preservation and Contrast Balance for Underwater Image Enhancement[J]. Journal of Unmanned Undersea Systems, 2024, 32(5): 823-832. doi: 10.11993/j.issn.2096-3920.2023-0131

Citation:

NING Zemeng, LIN Sen, LI Xingran. Scattered Light Compensation Combined with Color Preservation and Contrast Balance for Underwater Image Enhancement[J]. Journal of Unmanned Undersea Systems, 2024, 32(5): 823-832. doi: 10.11993/j.issn.2096-3920.2023-0131

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Scattered Light Compensation Combined with Color Preservation and Contrast Balance for Underwater Image Enhancement

doi: 10.11993/j.issn.2096-3920.2023-0131

NING Zemeng^1
,,
LIN Sen^{1
,
,},
LI Xingran^2
,

1.
School of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang 110159, China
2.
Hohai-Lille College, Hohai University, Nanjing 210098, China

Received Date: 2023-10-22
Accepted Date: 2024-01-05
Rev Recd Date: 2023-12-17

Available Online: 2024-02-07

Abstract

Abstract

In view of color deviation, low contrast, and blurring in underwater images, an underwater image enhancement method based on scattered light compensation combined with color preservation and contrast balance was proposed. Firstly, the relative total variational model was used to separate the structure and texture layer of the image. Specifically, the color deviation of the structural layer was corrected by defining a compensation coefficient error matrix based on the RGB spatial mapping, and the texture layer was enhanced by filtering separation and fusion to prevent the initial feature loss of the image. The enhanced texture layer was superimposed with the structural layer to obtain the output of the first layer. Besides, in the contrast balance module, color preservation-contrast limiting adaptive histogram equalization based on spatial transformation was performed to further improve the contrast and brightness. Finally, the enhanced results of the two layers were fused to output the image. Comparison conducted on different datasets verifies that the proposed method has better performance in balancing color deviation, enhancing details, and deblurring, which has practical application value in unmanned undersea system-based vision tasks.
- unmanned undersea system,
- color correction,
- underwater image enhancement,
- texture enhancement,
- scattering light compensation

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References(27)

References

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