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A novel underwater sonar image enhancement algorithm based on approximation spaces of random sets

  • 1193: Intelligent Processing of Multimedia Signals
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Abstract

Underwater environment is complex and random. The images obtained from underwater by sonar always have uneven background gray distribution and fuzzy details of boundary. Hence the low-quality sonar images need to be enhanced before analysis. This paper presents a sonar image enhancement algorithm based on the approximation spaces of random sets. First of all, the knowledge representation of the underwater image is constructed by the approximation spaces of random sets. According to the background knowledge, the image is divided by the upper and lower approximation space of the random set. Then the optimal partition is obtained according to the approximate equivalence relation of the upper and lower approximation. Based on the optimal partition, an improved dark channel theory is presented to enhance each region of the image. After that, sonar images with different backgrounds are used to test the proposed method. The experimental results show that the gray distribution of the sonar image enhanced by this algorithm is more uniform and the boundary details are clearer. The proposed algorithm has the advantage of solving the optimal division for the set of pixels with approximate grayscale. Moreover, the proposed algorithm can get better image enhancement effect in the premise of maintaining the texture of the sonar images.

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Acknowledgments

This work was funded by the National Natural Science Foundation of China (grant numbers 61801169, 61801168, 61873086), the Applied Basic Research Programs of Changzhou (CJ20200061) and the Fundamental Research Funds for the Central Universities(B210202090).

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Authors and Affiliations

  1. College of IOT Engineering, Hohai University, Changzhou, 213022, China

    Pengfei Shi, Liang Lu, Xinnan Fan, Yuanxue Xin & Jianjun Ni

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  1. Pengfei Shi
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  2. Liang Lu
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  3. Xinnan Fan
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Correspondence to Xinnan Fan.

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Shi, P., Lu, L., Fan, X. et al. A novel underwater sonar image enhancement algorithm based on approximation spaces of random sets. Multimed Tools Appl 81, 4569–4584 (2022). https://doi.org/10.1007/s11042-020-10187-y

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