基于改进暗通道先验法的单幅图像去雾算法

Chi-Chia Sun, Heng-Chi Lai, M. Sheu, Yi Huang
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引用次数: 7

摘要

近年来,如何使监控摄像机全天候运行成为一个非常重要的研究课题。因为监控图像经常受到现实世界天气状况的影响。本文提出了一种基于改进暗通道先验法的单幅图像快速去雾算法。与最新成果相比,该算法可提高28.5%的计算速度和41.8%的图像对比度。同时,它还能有效地除雾,不受夜间的影响。
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Single image fog removal algorithm based on an improved dark channel prior method
Recently, how to make surveillance cameras running in all weather conditions become a very important research topic. Because surveillance images are often influenced by the weather conditions in a real world. In this paper, a fast single image fog removal algorithm based on an improved dark channel prior method is proposed. Compared to the latest works, the proposed algorithm can increase 28.5% computing speed and 41.8% image contrast ratio. Meanwhile, it can remove fog efficiently without the influence in the night too.
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