Haze limits visibility and degrades image contrast, and images lose color fidelity owing to the scattering and absorption of light caused by particles. Consequently, removing haze is critical for enhancing the image visibility and quality, with estimation of airlight and transmission map being critical steps. We propose a simple and convenient improved scheme, which is polarization-based method for dehazing. The method uses four polarization orientations (0°, 45°, 90°, 135°) to measure the Stokes vector, and obtained the degree of polarization (DOP) of the airlight by angle of polarization (AOP) in three channels. Subsequently, estimating the airlight at infinity by average total intensity and re-constructing a matrix to estimate the transmission maps. Experimental results demonstrate that a high-quality transmission map can be obtained, and this improved method can restore outdoor scene haze images with high quality and contrast. In addition, this method also proved to be useful for enhancing color saturation and restoring color fidelity.

雾度限制了可见度并降低了图像的对比度，并且由于颗粒引起的光的散射和吸收，图像失去了色彩保真度。因此，消除雾霾对于提高图像的可见度和质量至关重要，估计光线和透射图是关键步骤。我们提出了一种简单方便的改进方案，即基于极化的除雾方法。该方法使用四个偏振方向（0°，45°，90°，135°）来测量斯托克斯矢量，并通过三个通道的偏振角（AOP）获得了空气光的偏振度（DOP）。随后，通过平均总强度估算无穷远处的空中光线，并重新构建矩阵以估算透射图。实验结果表明，可以获得高质量的透射图，这种改进的方法可以恢复高质量和对比度的户外场景雾度图像。另外，该方法还被证明对于增强色彩饱和度和恢复色彩保真度是有用的。