Li Xiaobo, Hu Haofeng, Zhao Lin, Wang Hui, Yu Yin, Wu Lan, Liu Tiegen
School of Precision Instrument & Opto-electronics Engineering, Tianjin University, Tianjin, 300072, China.
Institute of Optical Fiber Sensing of Tianjin University, Tianjin, 300072, China.
Sci Rep. 2018 Aug 20;8(1):12430. doi: 10.1038/s41598-018-30566-8.
The underwater imaging could be severely degraded by the scattering media because of the backscattered light and signal attenuation, especially in the case of strong scattering for dense turbid medium. In this paper, we propose an improved method for recovering the underwater image combining the histogram stretching and polarimetric recovery in a proper way. In this method, we stretch the histograms of the orthogonal polarization images while maintaining the polarization relation between them, and then, based on the processed orthogonal polarization images, the recovered image with higher quality can be obtained by the traditional polarimetric recovery method. Several groups of experimental results demonstrate that the quality of underwater images can be effectively enhanced by our method, and its performance is better than that of the traditional polarimetric recovery method. In particular, the proposed method is also quite effective in the condition of dense turbid medium.
由于后向散射光和信号衰减，水下成像可能会因散射介质而严重退化，特别是在密集浑浊介质的强散射情况下。在本文中，我们提出了一种改进的方法，以适当的方式结合直方图拉伸和偏振恢复来恢复水下图像。在该方法中，我们拉伸正交偏振图像的直方图，同时保持它们之间的偏振关系，然后，基于处理后的正交偏振图像，可以通过传统的偏振恢复方法获得更高质量的恢复图像。几组实验结果表明，我们的方法可以有效地提高水下图像的质量，并且其性能优于传统的偏振恢复方法。特别是，所提出的方法在密集浑浊介质条件下也非常有效。
