4.6 Article

Automatic underwater polarization imaging without background region or any prior

期刊

OPTICS EXPRESS
卷 29, 期 20, 页码 31283-31295

出版社

OPTICAL SOC AMER
DOI: 10.1364/OE.434398

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  1. National Natural Science Foundation of China [61775163, 62075161]
  2. Guangxi Innovation-Driven Development Project [GuikeAA21077008]

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The proposed method in this paper does not require background region or prior knowledge for underwater image recovery, which avoids poor and unstable image recovery performance caused by inaccurate estimation of intermediate parameters due to improper identification of the background region.
Previous polarization underwater imaging methods based on the physical scattering model usually require background region included in the image and the prior knowledge, which hinders its practical application. In this paper, we analyze and optimize the physically feasible region and propose an improved method by degenerating intermediate variables, which can realize automatic underwater image recovery without background region or any prior. The proposed method does not need to estimate the intermediate variables in the traditional underwater imaging model and is adaptable to the underwater image with non-uniform illumination, which avoids the poor and unstable image recovery performance caused by inaccurate estimation of intermediate parameters due to the improper identification of the background region. Meanwhile, our method is effective for both images without background region and images in which the background region is hard to be identified. In addition, our method solves the significant variation in recovery results caused by the different selection of background regions and the inconsistency of parameter adjustment. The experimental results of different underwater scenes show that the proposed method can enhance image contrast while preserving image details without introducing considerable noise, and the proposed method is effective for the dense turbid medium. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

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