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Robust image dehazing using a duided filter

机译:使用双色滤波器对图像进行强力去雾

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摘要

Images of outdoor scenes are always degraded because of the existence of the haze. In this paper, we propose a new robust way to boost the effect and reliability of image dehazing by a guided filter. We cleverly apply the maximum filtering to improve the dark channel map and use the edge-preserving smoothing operator to improve the guided image of the guided filter. Our method can boost dehazing effects along edges with large depth jumps and enhance the robustness and effect of haze removal. The experiments demonstrate that our method can obtain a haze-free image with high visual vividness even in highly dense haze regions.
机译:由于阴霾的存在,户外场景的图像总是会变质。在本文中,我们提出了一种新的鲁棒方法,以通过导引滤波器来增强图像去雾的效果和可靠性。我们巧妙地应用最大滤波来改善暗通道图,并使用保留边缘的平滑算子来改善引导滤镜的引导图像。我们的方法可以增强深度跳变较大的边缘的除雾效果,并增强除雾的鲁棒性和效果。实验表明,即使在高密度的雾霾区域,我们的方法也可以获得具有高视觉生动度的无雾霾图像。

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