Opt Express. 2022 Nov 21;30(24):43973-43986. doi: 10.1364/OE.474365.
Underwater active polarization imaging is promising due to its effect of significantly descattering. Polarization-difference is commonly used to filter out backscattered noise. However, the polarization common-mode rejection of target signal has rarely been utilized. In this paper, via taking full advantage of this feature of Stokes vectors S which ably avoids interference from target light, the spatial variation of the degree of polarization of backscattered light is accurately estimated, and the whole scene intensity distribution of background is reconstructed by Gaussian surface fitting based on least square. Meanwhile, the underwater image quality measure is applied as optimization feedback, through iterative computations, not only sufficiently suppresses backscattered noise but also better highlights the details of the target. Experimental results demonstrate the effectiveness of the proposed method for highly polarized target in strongly scattering water.
水下主动偏振成像是有前途的，因为它有显著的消散斑效果。偏振差分常用于滤除后向散射噪声。然而，目标信号的偏振共模抑制很少被利用。在本文中，通过充分利用 Stokes 向量 S 的这一特征，它可以有效地避免目标光的干扰，准确估计后向散射光的偏振度的空间变化，并基于最小二乘进行高斯面拟合来重建整个背景场景的强度分布。同时，水下图像质量度量作为优化反馈应用，通过迭代计算，不仅充分抑制了后向散射噪声，而且更好地突出了目标的细节。实验结果证明了该方法对强散射水中高度偏振目标的有效性。
