基于大气光偏振层析的雾天图像重构方法

Method of Haze Image Reconstruction Based on PolarizationLayering and Analysis of Airlight

为了提高偏振去雾方法对大气光估计的准确度,提出一种基于大气光偏振层析的雾天图像重构方法。在偏振空间下,将大气光梯度先验信息作为约束条件,对原始雾天偏振图像进行分层,估计大气光偏振图像;然后从大气光偏振图像中解析大气光,实现对大气光的偏振层析;最后,结合所提雾天图像偏振重构模型,并在大气光图像中估计无穷远处大气光,实现对雾天图像的去雾重构。实验结果表明,所提方法提高了大气光估计的准确度,进而使重构图像更清晰、目标还原度更高,且适用于不同浓度下的雾天图像重构。

To improve the accuracy of airlight estimation in polarization dehazing methods,a method for haze image reconstruction based on polarization layering and analysis of airlight is proposed.In the polarization space,the gradient prior information of the airlight is used as a constraint condition,and the original polarized hazy image is layered to estimate the polarized image of the airlight.This allows the analysis of the airlight from the polarized images,and the polarization layering and analysis of the airlight can be realized.Finally,by combining the proposed polarization reconstruction model of haze images and the estimation of atmospheric light at infinity in airlight images,a clear haze-free image is reconstructed.The experimental results show that the proposed method improves the accuracy of airlight estimation,provides a clearer reconstructed image,and provides a higher target restoration degree.The proposed method is suitable for haze image reconstruction under different concentrations.