Recently, the research and exploration of the ocean has attracted the attention of a large number of scholars. Due to the light scattering and absorption in underwater imaging, the fish observation images cause imaging blurred and details lost. To handle the above limitation, an underwater polarization imaging recovery technique is proposed to recover visibility restoration and color correction of images. First, in the CIE-Lab model, morphological filtering is used to repair the missing details of the L channel, and color correction is performed on A channel. Secondly, in the RGB model, adaptive contrast stretching is performed to enhance the contrast of the image. To further improve the image clarity, dark channel dehazing is implemented to reduce the atomization caused by scattering. Extensive experiments demonstrate that the method can significantly enhance the visual effect, clarity, and detail information of the fish image. The restoration and division of the contour information of fish in the image are improved.
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