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An image dehazing algorithm based on double priors constraint

机译:基于双重先验约束的图像去雾算法

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摘要

Aiming at the color distortion of the restored image in the sky region, we propose an image dehazing algorithm based on double priors constraint. Firstly, we divided the haze image into sky and non-sky regions. Then the Color-lines prior and dark channel prior are used for estimating the transmission of sky and non-sky regions respectively. After introducing color-lines prior to correct sky regions restored by the dark channel prior, we get an accurate transmission. Finally, the local media mean value and standard deviation are used to refine the transmission to obtain the dehazing image. Experimental results show that the algorithm has obvious advantages in the recovery of the sky area.
机译:针对天空区域中恢复图像的色彩失真,提出了一种基于双重先验约束的图像去雾算法。首先,我们将雾度图像分为天空和非天空区域。然后,将色线先验和暗道先验分别用于估计天空和非天空区域的透射率。在先引入色线,然后再通过暗通道先恢复正确的天空区域后,我们便获得了准确的透射率。最后,使用本地媒体平均值和标准偏差来优化传输以获得除雾图像。实验结果表明,该算法在恢复天空区域方面具有明显的优势。

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