Outdoor images can be degraded due to the particles in the air that absorb and scatter light. The produced degradation generates contrast attenuation, blurring, and distortion in pixels, resulting in low visibility. These limit the efficiency of computer vision systems such as target tracking, surveillance, and pattern recognition. In this paper, we propose a fast and effective method, through modification in the computation of the dark channel which significantly reduces the artifacts generated in the restored images presented when using the ordinary dark channel. According to our experimental results, our method produces better results than some state-of-the-art methods in both efficiency and restoration quality. The processing time in tests shows that the method is adequate for images with high-resolution and real-time video processing.

中文翻译：

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通过事先修改暗通道来进行有效的单图像除雾

由于空气中的颗粒会吸收和散射光，因此室外图像质量可能会下降。产生的降级会导致对比度衰减，像素模糊和失真，从而导致可见度降低。这些限制了计算机视觉系统（例如目标跟踪，监视和模式识别）的效率。在本文中，我们提出了一种快速有效的方法，通过对暗通道的计算进行修改，可以显着减少使用普通暗通道显示的还原图像中生成的伪像。根据我们的实验结果，我们的方法在效率和恢复质量上均比某些最新方法产生更好的结果。测试中的处理时间表明，该方法适用于具有高分辨率和实时视频处理的图像。