Airlight estimation in underwater image restoration

Jinlei Chu; Zhanying Zhang; Dongsheng Yu; Weikai Fang; Yi Cai; Chidong Xu

doi:10.1117/12.3014363

9 January 2024 Airlight estimation in underwater image restoration

Jinlei Chu, Zhanying Zhang, Dongsheng Yu, Weikai Fang, Yi Cai, Chidong Xu

Proceedings Volume 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023); 129691I (2024) https://doi.org/10.1117/12.3014363
Event: International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023), 2023, Qingdao, China

Abstract

Underwater imaging is plagued by light absorption and scattering, resulting in distorted, blurry, and low-contrast. This paper introduces an innovative underwater image restoration algorithm that combines natural lighting-based airlight estimation with the refined dark channel prior. The algorithm directly estimates airlight, considering various underwater conditions such as depth, water quality, and camera-object distance, using the Jaffe-McGlamery underwater image formation model tailored for real-world underwater scenarios. A transmission map formula rooted in the refined dark channel prior is then derived. Finally, the algorithm employs the estimated airlight and transmission map to restore the image. Experimental results validate the algorithm's effectiveness in removing airlight artifacts, enhancing image contrast, and providing a clearer and more natural visual output. This approach promises to advance the quality of underwater imaging and its applicability across various domains.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jinlei Chu, Zhanying Zhang, Dongsheng Yu, Weikai Fang, Yi Cai, and Chidong Xu "Airlight estimation in underwater image restoration", Proc. SPIE 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023), 129691I (9 January 2024); https://doi.org/10.1117/12.3014363

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