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An Image Dehazing Method Based on Atmospheric Veil

机译:基于大气面纱的图像去吸收方法

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At present, most of the image dehazing treatments have residual haze at depth of field and obvious over-enhancement phenomenon in bright area. To solve these problems, we propose a new method of fast image dehazing based on the atmospheric veil. Firstly, we use the total variation model to estimate the atmosphere veil, which can preserve the edge characteristics of image on the premise of improving the computational efficiency. Then, aiming at the failure of bright area of the atmosphere veil, we propose a fault-tolerant mechanism based on haze density feature to improve the universality of the algorithm. The experimental results show that our method has better visual effect than some existing mainstream dehazing techniques, and its efficiency also has obvious advantages.
机译:目前,大多数图像脱水治疗在明亮的景深和明显的过度增强现象中具有残余雾度。为了解决这些问题,我们提出了一种基于大气面纱的快速图像去吸附的新方法。首先,我们使用总变化模型来估计气氛面纱,这可以在提高计算效率的前提下保持图像的边缘特征。然后,旨在瞄准大气面纱的明亮区域的失效,我们提出了一种基于雾度密度特征的容错机制,以改善算法的普遍性。实验结果表明,我们的方法具有比现有的一些主流脱水技术更好的视觉效果,其效率也具有明显的优势。

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