Fast smoothing technique with edge preservation for single image dehazing
Fast smoothing technique with edge preservation for single image dehazing
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DOI：
10.1049/iet-cvi.2015.0063
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发表时间：
2015-11
期刊：
影响因子：
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通讯作者：
Danv Wang;Jubo Zhu
中科院分区：
文献类型：
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作者：
Danv Wang;Jubo Zhu
在单幅图像去噪问题中，准确估计图像的传播率是至关重要的。然而，在暗通道模型中提取的透射率不能有效地处理边缘和天空区域，这是因为在这些区域之前的暗通道适用性较差。这项研究旨在通过提出一种新的变分模型(VM)来解决这一问题。该方法引入了光滑项和梯度保持项，以减少复原图像中的假边缘和扭曲的天空区域。进一步，在附加算子分裂算法的基础上，提出了一种求解该问题的快速算法。该算法是一种有效的线性时间算法，在优化传输方面具有良好的性能。在这些实验中，该算法的平均运行时间比引导图像滤波提高了20倍以上。实验结果还表明，该算法在传输优化方面是有效和高效的。
In the single-image dehazing problem, it is critical that the transmission is accurately estimated. However, the extracted transmission in the dark channel model cannot effectively deal with the edge and the sky area because of the poor applicability of the dark channel prior to these areas. This study aims to solve that problem by proposing a novel variational model (VM) to optimise the transmission. This VM introduces a smoothness term and a gradient-preserving term to mitigate the false edge and the distorted sky area in the recovered image. Further, a fast algorithm to solve the VM is proposed on the basis of the additional operator splitting algorithm. This algorithm is an effective linear time algorithm and has excellent performance on optimising the transmission. The average running time of the algorithm shows an improvement of over 20 times that of the guided image filtering in these experiments. Experimental results also show that the proposed algorithm is both effective and efficient for optimising the transmission.